Gigabyte Technology Co., Ltd. Z790M AORUS ELITE AX ICE
Geekbench AI Score
27333
Single Precision Score
43208
Half Precision Score
22086
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | phils8s4 |
| Upload Date | December 27 2025 10:14 PM |
| Views | 16 |
| Notes | AMD driver 25.12.1 Memory Speed 5600 MT/s GPU Overclock 200 MHz Voltage Offset -100 mV Power 10% Vclck 2800 Vram Timing fast Re-BAR yes |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9060 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790M AORUS ELITE AX ICE |
| Motherboard | Gigabyte Technology Co., Ltd. Z790M AORUS ELITE AX ICE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13199
2.45 KIPS |
|
|
Image Classification (HP)
|
100% |
15963
2.97 KIPS |
|
|
Image Classification (Q)
|
100% |
11993
2.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19130
310.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
28192
457.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
17547
285.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
129620
151.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
423228
493.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
113305
132.7 IPS |
|
|
Object Detection (SP)
|
100% |
11007
873.1 IPS |
|
|
Object Detection (HP)
|
99% |
17372
1.38 KIPS |
|
|
Object Detection (Q)
|
87% |
9956
799.6 IPS |
|
|
Face Detection (SP)
|
100% |
33187
394.3 IPS |
|
|
Face Detection (HP)
|
100% |
47736
567.2 IPS |
|
|
Face Detection (Q)
|
97% |
28364
338.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
66125
509.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99840
769.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
53880
432.1 IPS |
|
|
Style Transfer (SP)
|
100% |
238970
307.2 IPS |
|
|
Style Transfer (HP)
|
100% |
494064
635.1 IPS |
|
|
Style Transfer (Q)
|
98% |
203465
262.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41652
1.54 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84763
3.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32390
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
4629
6.18 KIPS |
|
|
Text Classification (HP)
|
100% |
5299
7.07 KIPS |
|
|
Text Classification (Q)
|
97% |
3233
4.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
6390
110.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6482
111.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3574
67.0 IPS |
