Micro-Star International Co., Ltd. MS-7C71
Geekbench AI Score
3098
Single Precision Score
1340
Half Precision Score
4056
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | March 28 2025 10:23 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-10850K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C71 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z490 UNIFY (MS-7C71) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10850K |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2188
407.0 IPS |
|
|
Image Classification (HP)
|
100% |
489
91.0 IPS |
|
|
Image Classification (Q)
|
96% |
4391
820.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1483
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
768
12.5 IPS |
|
|
Image Segmentation (Q)
|
97% |
2089
34.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5326
6.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
4466
5.21 IPS |
|
|
Pose Estimation (Q)
|
86% |
12489
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
2253
178.7 IPS |
|
|
Object Detection (HP)
|
100% |
613
48.6 IPS |
|
|
Object Detection (Q)
|
58% |
2800
305.9 IPS |
|
|
Face Detection (SP)
|
100% |
4091
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
1322
15.7 IPS |
|
|
Face Detection (Q)
|
96% |
7142
85.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7189
55.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1926
14.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
10073
80.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12721
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10470
13.5 IPS |
|
|
Style Transfer (Q)
|
87% |
15979
20.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2225
82.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1759
64.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3021
111.9 IPS |
|
|
Text Classification (SP)
|
100% |
1287
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
620
827.8 IPS |
|
|
Text Classification (Q)
|
97% |
464
621.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1953
33.6 IPS |
|
|
Machine Translation (HP)
|
100% |
627
10.8 IPS |
|
|
Machine Translation (Q)
|
68% |
2337
45.1 IPS |
