Micro-Star International Co., Ltd. MS-7D32
Geekbench AI Score
4661
Single Precision Score
981
Half Precision Score
6806
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Homex |
| Upload Date | September 21 2024 02:07 AM |
| Views | 4 |
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, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2704
502.8 IPS |
|
|
Image Classification (HP)
|
100% |
179
33.3 IPS |
|
|
Image Classification (Q)
|
99% |
4720
880.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2417
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
345
5.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
4043
65.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9336
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
5127
5.98 IPS |
|
|
Pose Estimation (Q)
|
95% |
33056
38.7 IPS |
|
|
Object Detection (SP)
|
100% |
3003
238.2 IPS |
|
|
Object Detection (HP)
|
100% |
259
20.5 IPS |
|
|
Object Detection (Q)
|
88% |
2803
224.7 IPS |
|
|
Face Detection (SP)
|
100% |
5713
67.9 IPS |
|
|
Face Detection (HP)
|
100% |
404
4.80 IPS |
|
|
Face Detection (Q)
|
97% |
6559
78.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10418
80.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1147
8.84 IPS |
|
|
Depth Estimation (Q)
|
76% |
13181
106.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22949
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12340
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
34661
44.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3676
135.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2434
89.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6005
222.4 IPS |
|
|
Text Classification (SP)
|
100% |
2127
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
847
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
2043
2.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2475
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
856
14.7 IPS |
|
|
Machine Translation (Q)
|
60% |
3284
73.3 IPS |
