Gigabyte Technology Co., Ltd. Z690 AORUS ULTRA
Geekbench AI Score
1849
Single Precision Score
1898
Half Precision Score
1223
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | rodrigo_rl |
| Upload Date | April 06 2026 08:20 PM |
| Views | 2 |
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. Z690 AORUS ULTRA |
| Motherboard | Gigabyte Technology Co., Ltd. Z690 AORUS ULTRA |
| Power Plan | Alto desempenho |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
770
143.2 IPS |
|
|
Image Classification (HP)
|
100% |
778
144.6 IPS |
|
|
Image Classification (Q)
|
100% |
643
119.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1066
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1206
19.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
810
13.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5472
6.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
6037
7.04 IPS |
|
|
Pose Estimation (Q)
|
96% |
3671
4.30 IPS |
|
|
Object Detection (SP)
|
100% |
871
69.1 IPS |
|
|
Object Detection (HP)
|
98% |
729
58.0 IPS |
|
|
Object Detection (Q)
|
86% |
725
58.3 IPS |
|
|
Face Detection (SP)
|
100% |
1735
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
1884
22.4 IPS |
|
|
Face Detection (Q)
|
97% |
1289
15.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3217
24.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3505
27.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
2373
19.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11222
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
14922
19.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8301
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1915
70.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2623
96.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
970
35.9 IPS |
|
|
Text Classification (SP)
|
100% |
901
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
537
716.8 IPS |
|
|
Text Classification (Q)
|
97% |
456
610.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1110
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1061
18.3 IPS |
|
|
Machine Translation (Q)
|
70% |
482
9.03 IPS |
