Micro-Star International Co., Ltd. MS-7C37
Geekbench AI Score
5681
Single Precision Score
5674
Half Precision Score
7781
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Nitroklaus05 |
| Upload Date | March 16 2026 12:24 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X3D 8-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 | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3470
645.3 IPS |
|
|
Image Classification (HP)
|
100% |
3407
633.7 IPS |
|
|
Image Classification (Q)
|
100% |
5006
930.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4232
68.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4184
67.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6160
100.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6539
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
6584
7.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
13607
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
3476
275.7 IPS |
|
|
Object Detection (HP)
|
100% |
3450
273.6 IPS |
|
|
Object Detection (Q)
|
87% |
5267
422.4 IPS |
|
|
Face Detection (SP)
|
100% |
10274
122.1 IPS |
|
|
Face Detection (HP)
|
100% |
10275
122.1 IPS |
|
|
Face Detection (Q)
|
97% |
14843
177.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8616
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8616
66.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
14953
117.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19908
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19897
25.6 IPS |
|
|
Style Transfer (Q)
|
98% |
38574
49.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4164
153.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4149
153.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7715
285.8 IPS |
|
|
Text Classification (SP)
|
100% |
2904
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2952
3.94 KIPS |
|
|
Text Classification (Q)
|
91% |
1105
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4929
84.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4953
85.3 IPS |
|
|
Machine Translation (Q)
|
100% |
5047
86.9 IPS |
