Gigabyte Technology Co., Ltd. Z690 AORUS ULTRA
Geekbench AI Score
5016
Single Precision Score
1777
Half Precision Score
8289
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | rodrigo_rl |
| Upload Date | March 15 2025 05:59 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700K |
| 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% |
3793
705.3 IPS |
|
|
Image Classification (HP)
|
100% |
600
111.5 IPS |
|
|
Image Classification (Q)
|
99% |
7054
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2151
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1182
19.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4130
67.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8879
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
5108
5.96 IPS |
|
|
Pose Estimation (Q)
|
94% |
29766
34.9 IPS |
|
|
Object Detection (SP)
|
100% |
3681
292.0 IPS |
|
|
Object Detection (HP)
|
100% |
810
64.2 IPS |
|
|
Object Detection (Q)
|
86% |
7448
598.6 IPS |
|
|
Face Detection (SP)
|
100% |
10138
120.5 IPS |
|
|
Face Detection (HP)
|
100% |
1955
23.2 IPS |
|
|
Face Detection (Q)
|
97% |
11406
136.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11272
86.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2364
18.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
18323
146.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20910
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12335
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
26888
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3658
135.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2440
90.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5651
209.3 IPS |
|
|
Text Classification (SP)
|
100% |
1886
2.52 KIPS |
|
|
Text Classification (HP)
|
100% |
880
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
2055
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
2297
39.6 IPS |
|
|
Machine Translation (HP)
|
100% |
875
15.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3633
73.0 IPS |
