Gigabyte Technology Co., Ltd. Z790 UD AX
Geekbench AI Score
22718
Single Precision Score
41907
Half Precision Score
17935
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 09 2025 12:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 UD AX |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 UD AX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KS |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9813
1.82 KIPS |
|
|
Image Classification (HP)
|
100% |
17958
3.34 KIPS |
|
|
Image Classification (Q)
|
100% |
9087
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15087
244.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21787
353.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
14137
229.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
122758
143.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
386780
451.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
115312
135.1 IPS |
|
|
Object Detection (SP)
|
100% |
11590
919.3 IPS |
|
|
Object Detection (HP)
|
100% |
20645
1.64 KIPS |
|
|
Object Detection (Q)
|
83% |
10105
816.5 IPS |
|
|
Face Detection (SP)
|
100% |
28089
333.8 IPS |
|
|
Face Detection (HP)
|
100% |
43897
521.6 IPS |
|
|
Face Detection (Q)
|
97% |
24832
296.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
55869
430.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
119650
921.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
45468
362.9 IPS |
|
|
Style Transfer (SP)
|
100% |
175612
225.8 IPS |
|
|
Style Transfer (HP)
|
100% |
599541
770.7 IPS |
|
|
Style Transfer (Q)
|
98% |
152444
196.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34774
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
67078
2.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27465
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
4067
5.43 KIPS |
|
|
Text Classification (HP)
|
100% |
5073
6.77 KIPS |
|
|
Text Classification (Q)
|
97% |
2497
3.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
4461
76.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4991
86.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1950
36.6 IPS |
