Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
3542
Single Precision Score
849
Half Precision Score
4902
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 11 2024 03:11 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D25 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z690-A (MS-7D25) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700KF |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2177
404.9 IPS |
|
|
Image Classification (HP)
|
100% |
163
30.4 IPS |
|
|
Image Classification (Q)
|
99% |
3826
713.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1753
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
277
4.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
3133
50.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7141
8.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
4654
5.43 IPS |
|
|
Pose Estimation (Q)
|
95% |
24848
29.1 IPS |
|
|
Object Detection (SP)
|
100% |
2391
189.7 IPS |
|
|
Object Detection (HP)
|
100% |
231
18.3 IPS |
|
|
Object Detection (Q)
|
88% |
2162
173.3 IPS |
|
|
Face Detection (SP)
|
100% |
3609
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
323
3.84 IPS |
|
|
Face Detection (Q)
|
97% |
4075
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7916
61.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1038
8.00 IPS |
|
|
Depth Estimation (Q)
|
76% |
8867
71.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16721
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11592
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
21025
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3071
113.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2167
80.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4174
154.6 IPS |
|
|
Text Classification (SP)
|
100% |
1792
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
711
949.6 IPS |
|
|
Text Classification (Q)
|
97% |
1678
2.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1819
31.3 IPS |
|
|
Machine Translation (HP)
|
100% |
670
11.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2343
52.3 IPS |
