Micro-Star International Co., Ltd. MS-7C86
Geekbench AI Score
1771
Single Precision Score
2605
Half Precision Score
2488
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | john412 |
| Upload Date | March 24 2025 04:03 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| 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% |
1066
198.3 IPS |
|
|
Image Classification (HP)
|
100% |
1899
353.1 IPS |
|
|
Image Classification (Q)
|
100% |
1713
318.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1512
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2383
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2229
36.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2794
3.26 IPS |
|
|
Pose Estimation (HP)
|
99% |
2570
3.01 IPS |
|
|
Pose Estimation (Q)
|
97% |
3818
4.47 IPS |
|
|
Object Detection (SP)
|
100% |
1074
85.2 IPS |
|
|
Object Detection (HP)
|
99% |
1726
137.3 IPS |
|
|
Object Detection (Q)
|
88% |
1608
129.0 IPS |
|
|
Face Detection (SP)
|
100% |
2826
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
4891
58.1 IPS |
|
|
Face Detection (Q)
|
97% |
4445
53.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3265
25.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5425
41.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
4950
38.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7842
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10511
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
9455
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1375
50.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2434
89.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2330
86.3 IPS |
|
|
Text Classification (SP)
|
71% |
775
1.12 KIPS |
|
|
Text Classification (HP)
|
71% |
908
1.31 KIPS |
|
|
Text Classification (Q)
|
92% |
691
927.7 IPS |
|
|
Machine Translation (SP)
|
100% |
815
14.0 IPS |
|
|
Machine Translation (HP)
|
97% |
1165
20.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1158
20.0 IPS |
