Micro-Star International Co., Ltd. MS-7C37
Geekbench AI Score
3341
Single Precision Score
3121
Half Precision Score
3869
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | nagolmas |
| Upload Date | March 27 2025 07:11 PM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 3800X 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 | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1957
364.0 IPS |
|
|
Image Classification (HP)
|
100% |
2073
385.5 IPS |
|
|
Image Classification (Q)
|
100% |
2894
538.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2353
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1120
18.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3533
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4654
5.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
4801
5.60 IPS |
|
|
Pose Estimation (Q)
|
94% |
5786
6.79 IPS |
|
|
Object Detection (SP)
|
100% |
1782
141.3 IPS |
|
|
Object Detection (HP)
|
100% |
1728
137.1 IPS |
|
|
Object Detection (Q)
|
87% |
2363
189.5 IPS |
|
|
Face Detection (SP)
|
100% |
4095
48.7 IPS |
|
|
Face Detection (HP)
|
100% |
4095
48.7 IPS |
|
|
Face Detection (Q)
|
97% |
7361
87.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5479
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5513
42.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
7324
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13568
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13688
17.6 IPS |
|
|
Style Transfer (Q)
|
98% |
18637
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2799
103.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2763
102.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3488
129.2 IPS |
|
|
Text Classification (SP)
|
100% |
2011
2.68 KIPS |
|
|
Text Classification (HP)
|
100% |
2040
2.72 KIPS |
|
|
Text Classification (Q)
|
91% |
606
814.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2651
45.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2618
45.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2532
43.6 IPS |
