Micro-Star International Co., Ltd. MS-7C86
Geekbench AI Score
4888
Single Precision Score
4930
Half Precision Score
7467
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | john412 |
| Upload Date | March 24 2025 03:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-10900 CPU @ 2.80GHz |
| 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% |
3184
592.2 IPS |
|
|
Image Classification (HP)
|
100% |
3394
631.2 IPS |
|
|
Image Classification (Q)
|
100% |
5268
979.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3774
61.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3819
61.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5661
92.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7410
8.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
7400
8.63 IPS |
|
|
Pose Estimation (Q)
|
94% |
15076
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2968
235.5 IPS |
|
|
Object Detection (HP)
|
100% |
2864
227.2 IPS |
|
|
Object Detection (Q)
|
87% |
5578
447.4 IPS |
|
|
Face Detection (SP)
|
100% |
3817
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
3792
45.1 IPS |
|
|
Face Detection (Q)
|
97% |
14939
178.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8421
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8525
65.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
14914
117.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20328
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20877
26.8 IPS |
|
|
Style Transfer (Q)
|
98% |
45300
58.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4335
160.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4326
159.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8605
318.8 IPS |
|
|
Text Classification (SP)
|
100% |
2822
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
2853
3.81 KIPS |
|
|
Text Classification (Q)
|
91% |
671
902.4 IPS |
|
|
Machine Translation (SP)
|
100% |
3689
63.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3712
63.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3687
63.5 IPS |
