Micro-Star International Co., Ltd. MS-7C37
Geekbench AI Score
5067
Single Precision Score
4867
Half Precision Score
7597
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | DavideGag68 |
| Upload Date | March 04 2026 08:44 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C37 |
| Motherboard | Micro-Star International Co., Ltd. MPG X570 GAMING EDGE WIFI (MS-7C37) |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2809
522.4 IPS |
|
|
Image Classification (HP)
|
100% |
2649
492.6 IPS |
|
|
Image Classification (Q)
|
100% |
4970
924.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3696
59.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3876
62.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8480
137.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7057
8.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
6988
8.15 IPS |
|
|
Pose Estimation (Q)
|
94% |
23709
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
3478
275.9 IPS |
|
|
Object Detection (HP)
|
100% |
3196
253.5 IPS |
|
|
Object Detection (Q)
|
87% |
6247
501.0 IPS |
|
|
Face Detection (SP)
|
100% |
7425
88.2 IPS |
|
|
Face Detection (HP)
|
100% |
7587
90.2 IPS |
|
|
Face Detection (Q)
|
97% |
18256
217.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7986
61.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
7717
59.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
18917
149.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27293
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23203
29.8 IPS |
|
|
Style Transfer (Q)
|
98% |
50675
65.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5626
207.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5690
210.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11167
413.7 IPS |
|
|
Text Classification (SP)
|
100% |
2141
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
2101
2.80 KIPS |
|
|
Text Classification (Q)
|
91% |
259
348.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2250
38.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2004
34.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2027
34.9 IPS |
