Micro-Star International Co., Ltd. MS-7D32
Geekbench AI Score
5324
Single Precision Score
1235
Half Precision Score
7249
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Homex |
| Upload Date | August 26 2024 02:49 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D32 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z690 TOMAHAWK WIFI (MS-7D32) |
| Power Plan | Adamx's Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700KF |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3135
583.0 IPS |
|
|
Image Classification (HP)
|
100% |
215
40.0 IPS |
|
|
Image Classification (Q)
|
99% |
5364
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2495
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
395
6.41 IPS |
|
|
Image Segmentation (Q)
|
98% |
3993
64.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9739
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
7557
8.82 IPS |
|
|
Pose Estimation (Q)
|
95% |
32181
37.7 IPS |
|
|
Object Detection (SP)
|
100% |
3603
285.8 IPS |
|
|
Object Detection (HP)
|
100% |
312
24.7 IPS |
|
|
Object Detection (Q)
|
88% |
3097
248.2 IPS |
|
|
Face Detection (SP)
|
100% |
6534
77.6 IPS |
|
|
Face Detection (HP)
|
100% |
472
5.61 IPS |
|
|
Face Detection (Q)
|
97% |
6619
78.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11360
87.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1413
10.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
13655
110.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22833
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
18286
23.5 IPS |
|
|
Style Transfer (Q)
|
98% |
34409
44.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4434
163.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3508
129.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6481
240.0 IPS |
|
|
Text Classification (SP)
|
100% |
2477
3.31 KIPS |
|
|
Text Classification (HP)
|
100% |
1014
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
2287
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3586
61.8 IPS |
|
|
Machine Translation (HP)
|
100% |
952
16.4 IPS |
|
|
Machine Translation (Q)
|
60% |
4076
90.9 IPS |
