Micro-Star International Co., Ltd. MS-7C37
Geekbench AI Score
4993
Single Precision Score
4985
Half Precision Score
7602
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 01:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C37 |
| Motherboard | Micro-Star International Co., Ltd. MPG X570 GAMING PLUS (MS-7C37) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3281
610.2 IPS |
|
|
Image Classification (HP)
|
100% |
3302
614.1 IPS |
|
|
Image Classification (Q)
|
100% |
5303
986.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3792
61.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3885
63.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6075
98.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5993
6.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
6042
7.05 IPS |
|
|
Pose Estimation (Q)
|
94% |
12726
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
2821
223.8 IPS |
|
|
Object Detection (HP)
|
100% |
2793
221.5 IPS |
|
|
Object Detection (Q)
|
87% |
5184
415.8 IPS |
|
|
Face Detection (SP)
|
100% |
6684
79.4 IPS |
|
|
Face Detection (HP)
|
100% |
6641
78.9 IPS |
|
|
Face Detection (Q)
|
97% |
15224
181.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7299
56.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7556
58.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
14042
110.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17335
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
17761
22.8 IPS |
|
|
Style Transfer (Q)
|
98% |
36071
46.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3850
142.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3667
135.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7351
272.3 IPS |
|
|
Text Classification (SP)
|
100% |
2987
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
2887
3.85 KIPS |
|
|
Text Classification (Q)
|
91% |
1211
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4709
81.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4646
80.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4423
76.2 IPS |
