Gigabyte Technology Co., Ltd. Z790 AORUS MASTER
Geekbench AI Score
4773
Single Precision Score
1825
Half Precision Score
6603
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | metaphase |
| Upload Date | November 20 2024 10:44 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 AORUS MASTER |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700KF |
| 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% |
2646
492.0 IPS |
|
|
Image Classification (HP)
|
100% |
603
112.1 IPS |
|
|
Image Classification (Q)
|
99% |
4714
879.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2466
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1350
21.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4489
73.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9939
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
5193
6.06 IPS |
|
|
Pose Estimation (Q)
|
95% |
32987
38.7 IPS |
|
|
Object Detection (SP)
|
100% |
2965
235.2 IPS |
|
|
Object Detection (HP)
|
100% |
858
68.0 IPS |
|
|
Object Detection (Q)
|
88% |
2686
215.3 IPS |
|
|
Face Detection (SP)
|
100% |
5657
67.2 IPS |
|
|
Face Detection (HP)
|
100% |
2104
25.0 IPS |
|
|
Face Detection (Q)
|
97% |
6106
72.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10626
81.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2334
18.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
11190
89.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23250
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12702
16.3 IPS |
|
|
Style Transfer (Q)
|
98% |
28935
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3931
145.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2486
91.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6208
229.9 IPS |
|
|
Text Classification (SP)
|
100% |
2205
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
838
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
2052
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
2636
45.4 IPS |
|
|
Machine Translation (HP)
|
100% |
872
15.0 IPS |
|
|
Machine Translation (Q)
|
60% |
3337
74.4 IPS |
