Micro-Star International Co., Ltd. MS-7C75
Geekbench AI Score
8463
Single Precision Score
14594
Half Precision Score
6088
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | MadSam |
| Upload Date | June 24 2025 12:57 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C75 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z490 GAMING PLUS (MS-7C75) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3306
614.8 IPS |
|
|
Image Classification (HP)
|
100% |
5844
1.09 KIPS |
|
|
Image Classification (Q)
|
99% |
2760
514.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6332
102.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9325
151.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5012
81.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
41028
47.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
111335
129.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
34442
40.4 IPS |
|
|
Object Detection (SP)
|
100% |
4226
335.2 IPS |
|
|
Object Detection (HP)
|
100% |
7334
581.7 IPS |
|
|
Object Detection (Q)
|
84% |
3412
275.2 IPS |
|
|
Face Detection (SP)
|
100% |
10427
123.9 IPS |
|
|
Face Detection (HP)
|
100% |
17728
210.6 IPS |
|
|
Face Detection (Q)
|
97% |
8748
104.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
21236
163.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
40548
312.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
15011
119.9 IPS |
|
|
Style Transfer (SP)
|
100% |
73661
94.7 IPS |
|
|
Style Transfer (HP)
|
100% |
169676
218.1 IPS |
|
|
Style Transfer (Q)
|
98% |
60181
77.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12307
454.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21153
781.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7725
286.0 IPS |
|
|
Text Classification (SP)
|
100% |
1245
1.66 KIPS |
|
|
Text Classification (HP)
|
99% |
1781
2.38 KIPS |
|
|
Text Classification (Q)
|
97% |
725
971.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2080
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2144
36.9 IPS |
|
|
Machine Translation (Q)
|
70% |
973
18.3 IPS |
