Micro-Star International Co., Ltd. MS-7C37
Geekbench AI Score
12181
Single Precision Score
20780
Half Precision Score
8531
Quantized Score
Geekbench AI 1.5.0 Corporate for Windows AVX2
Result Information
| Upload Date | September 02 2025 08:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C37 |
| Motherboard | Micro-Star International Co., Ltd. MPG X570 GAMING PLUS (MS-7C37) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3800XT |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5175
962.3 IPS |
|
|
Image Classification (HP)
|
100% |
8890
1.65 KIPS |
|
|
Image Classification (Q)
|
99% |
4062
757.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
8712
141.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12618
204.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7009
114.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
55345
64.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
152914
178.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
47184
55.3 IPS |
|
|
Object Detection (SP)
|
100% |
6145
487.4 IPS |
|
|
Object Detection (HP)
|
100% |
10600
840.8 IPS |
|
|
Object Detection (Q)
|
84% |
4824
389.1 IPS |
|
|
Face Detection (SP)
|
100% |
14771
175.5 IPS |
|
|
Face Detection (HP)
|
100% |
24098
286.3 IPS |
|
|
Face Detection (Q)
|
97% |
11876
141.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
29517
227.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
57147
440.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
20797
166.1 IPS |
|
|
Style Transfer (SP)
|
100% |
99535
128.0 IPS |
|
|
Style Transfer (HP)
|
100% |
232248
298.6 IPS |
|
|
Style Transfer (Q)
|
98% |
81615
105.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17498
646.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28820
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
10751
398.1 IPS |
|
|
Text Classification (SP)
|
100% |
1798
2.40 KIPS |
|
|
Text Classification (HP)
|
99% |
2604
3.48 KIPS |
|
|
Text Classification (Q)
|
97% |
1049
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3437
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3441
59.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1386
26.0 IPS |
