Micro-Star International Co., Ltd. MS-7C86
Geekbench AI Score
1027
Single Precision Score
1179
Half Precision Score
842
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | john412 |
| Upload Date | March 24 2025 03:55 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C86 |
| Motherboard | Micro-Star International Co., Ltd. MPG B460I GAMING EDGE WIFI (MS-7C86) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
417
77.5 IPS |
|
|
Image Classification (HP)
|
100% |
500
92.9 IPS |
|
|
Image Classification (Q)
|
100% |
426
79.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
639
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
688
11.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
555
9.03 IPS |
|
|
Pose Estimation (SP)
|
100% |
2471
2.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
3937
4.59 IPS |
|
|
Pose Estimation (Q)
|
97% |
2263
2.65 IPS |
|
|
Object Detection (SP)
|
100% |
513
40.7 IPS |
|
|
Object Detection (HP)
|
98% |
521
41.5 IPS |
|
|
Object Detection (Q)
|
86% |
469
37.7 IPS |
|
|
Face Detection (SP)
|
100% |
1003
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
1182
14.0 IPS |
|
|
Face Detection (Q)
|
97% |
893
10.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1849
14.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
2283
17.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
1610
12.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6313
8.12 IPS |
|
|
Style Transfer (HP)
|
100% |
9415
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
5567
7.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1249
46.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1767
65.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
989
36.6 IPS |
|
|
Text Classification (SP)
|
100% |
544
725.9 IPS |
|
|
Text Classification (HP)
|
100% |
322
429.9 IPS |
|
|
Text Classification (Q)
|
97% |
313
419.4 IPS |
|
|
Machine Translation (SP)
|
100% |
489
8.42 IPS |
|
|
Machine Translation (HP)
|
100% |
511
8.80 IPS |
|
|
Machine Translation (Q)
|
70% |
289
5.41 IPS |
