Gigabyte Technology Co., Ltd. Z790 AORUS PRO X
Geekbench AI Score
1751
Single Precision Score
1801
Half Precision Score
1176
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TerrenceMiao |
| Upload Date | April 08 2025 12:57 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 AORUS PRO X |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 AORUS PRO X |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900KS |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
765
142.3 IPS |
|
|
Image Classification (HP)
|
100% |
779
144.9 IPS |
|
|
Image Classification (Q)
|
100% |
641
119.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1039
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1178
19.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
779
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5312
6.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
5785
6.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
3538
4.14 IPS |
|
|
Object Detection (SP)
|
100% |
837
66.4 IPS |
|
|
Object Detection (HP)
|
98% |
713
56.7 IPS |
|
|
Object Detection (Q)
|
86% |
705
56.7 IPS |
|
|
Face Detection (SP)
|
100% |
1703
20.2 IPS |
|
|
Face Detection (HP)
|
100% |
1837
21.8 IPS |
|
|
Face Detection (Q)
|
97% |
1264
15.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3159
24.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
3487
27.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
2328
18.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10883
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
14700
18.9 IPS |
|
|
Style Transfer (Q)
|
98% |
8070
10.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1881
69.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2598
95.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
950
35.2 IPS |
|
|
Text Classification (SP)
|
100% |
890
1.19 KIPS |
|
|
Text Classification (HP)
|
100% |
514
686.4 IPS |
|
|
Text Classification (Q)
|
97% |
448
600.8 IPS |
|
|
Machine Translation (SP)
|
100% |
786
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
757
13.0 IPS |
|
|
Machine Translation (Q)
|
70% |
405
7.60 IPS |
