Gigabyte Technology Co., Ltd. Z790M AORUS ELITE AX ICE
Geekbench AI Score
6167
Single Precision Score
1860
Half Precision Score
10208
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | phils8s4 |
| Upload Date | December 30 2025 03:02 AM |
| Views | 14 |
| Notes | i9 6000 61 PC 45 EC 475A 330W 270W 80C1_2 85C2 0_0_0_3 avx2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900KF |
| 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 i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5078
944.3 IPS |
|
|
Image Classification (HP)
|
100% |
665
123.6 IPS |
|
|
Image Classification (Q)
|
99% |
7692
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2549
41.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1202
19.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
13822
224.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11609
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
5033
5.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
34130
40.0 IPS |
|
|
Object Detection (SP)
|
100% |
4732
375.4 IPS |
|
|
Object Detection (HP)
|
100% |
947
75.1 IPS |
|
|
Object Detection (Q)
|
86% |
8536
686.0 IPS |
|
|
Face Detection (SP)
|
100% |
14300
169.9 IPS |
|
|
Face Detection (HP)
|
100% |
2012
23.9 IPS |
|
|
Face Detection (Q)
|
97% |
12399
147.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13660
105.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2234
17.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
21433
171.0 IPS |
|
|
Style Transfer (SP)
|
100% |
27005
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12493
16.1 IPS |
|
|
Style Transfer (Q)
|
98% |
31755
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4369
161.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2333
86.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7124
263.8 IPS |
|
|
Text Classification (SP)
|
100% |
1811
2.42 KIPS |
|
|
Text Classification (HP)
|
100% |
873
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1725
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2682
46.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1138
19.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3825
76.9 IPS |
