Micro-Star International Co., Ltd. MS-7C86
Geekbench AI Score
6430
Single Precision Score
5267
Half Precision Score
4627
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | john412 |
| Upload Date | March 24 2025 03:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 |
| 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% |
2492
463.4 IPS |
|
|
Image Classification (HP)
|
100% |
2494
463.8 IPS |
|
|
Image Classification (Q)
|
99% |
2332
434.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4168
67.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3744
60.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3296
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
24268
28.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16645
19.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
20749
24.3 IPS |
|
|
Object Detection (SP)
|
100% |
3193
253.3 IPS |
|
|
Object Detection (HP)
|
100% |
3017
239.3 IPS |
|
|
Object Detection (Q)
|
83% |
2691
217.5 IPS |
|
|
Face Detection (SP)
|
100% |
6400
76.1 IPS |
|
|
Face Detection (HP)
|
100% |
5982
71.1 IPS |
|
|
Face Detection (Q)
|
97% |
5253
62.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15196
117.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
11532
88.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
10770
86.0 IPS |
|
|
Style Transfer (SP)
|
100% |
46406
59.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32037
41.2 IPS |
|
|
Style Transfer (Q)
|
98% |
37189
48.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8552
315.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7688
283.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5779
214.0 IPS |
|
|
Text Classification (SP)
|
100% |
1656
2.21 KIPS |
|
|
Text Classification (HP)
|
100% |
860
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
873
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2350
40.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2400
41.5 IPS |
|
|
Machine Translation (Q)
|
70% |
988
18.5 IPS |
