Gigabyte Technology Co., Ltd. Z790 AORUS ELITE AX
Geekbench AI Score
1931
Single Precision Score
1987
Half Precision Score
1274
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | ovey |
| Upload Date | July 18 2025 09:56 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 AORUS ELITE AX |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| 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% |
805
149.8 IPS |
|
|
Image Classification (HP)
|
100% |
820
152.5 IPS |
|
|
Image Classification (Q)
|
100% |
676
125.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1109
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1255
20.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
843
13.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5696
6.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
6252
7.29 IPS |
|
|
Pose Estimation (Q)
|
96% |
3802
4.45 IPS |
|
|
Object Detection (SP)
|
100% |
909
72.1 IPS |
|
|
Object Detection (HP)
|
98% |
768
61.1 IPS |
|
|
Object Detection (Q)
|
86% |
759
61.1 IPS |
|
|
Face Detection (SP)
|
100% |
1808
21.5 IPS |
|
|
Face Detection (HP)
|
100% |
1957
23.2 IPS |
|
|
Face Detection (Q)
|
97% |
1343
16.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3358
25.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
3675
28.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
2476
19.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11593
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
15442
19.9 IPS |
|
|
Style Transfer (Q)
|
98% |
8576
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1993
73.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2736
101.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1007
37.3 IPS |
|
|
Text Classification (SP)
|
100% |
930
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
563
751.0 IPS |
|
|
Text Classification (Q)
|
97% |
469
628.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1200
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1138
19.6 IPS |
|
|
Machine Translation (Q)
|
70% |
512
9.60 IPS |
