Micro-Star International Co., Ltd. MS-7C37
Geekbench AI Score
10786
Single Precision Score
17960
Half Precision Score
7646
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 11 2024 10:49 AM |
| Views | 19 |
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% |
4830
898.1 IPS |
|
|
Image Classification (HP)
|
100% |
7975
1.48 KIPS |
|
|
Image Classification (Q)
|
100% |
3719
691.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6618
107.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7857
127.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5588
90.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
55485
64.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
150604
175.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
47257
55.3 IPS |
|
|
Object Detection (SP)
|
100% |
5689
451.3 IPS |
|
|
Object Detection (HP)
|
100% |
9455
750.0 IPS |
|
|
Object Detection (Q)
|
89% |
4473
358.0 IPS |
|
|
Face Detection (SP)
|
100% |
12305
146.2 IPS |
|
|
Face Detection (HP)
|
100% |
19369
230.1 IPS |
|
|
Face Detection (Q)
|
97% |
9615
114.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
25784
198.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
51025
393.1 IPS |
|
|
Depth Estimation (Q)
|
72% |
17947
148.2 IPS |
|
|
Style Transfer (SP)
|
100% |
98967
127.2 IPS |
|
|
Style Transfer (HP)
|
100% |
227681
292.7 IPS |
|
|
Style Transfer (Q)
|
98% |
81373
104.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17230
636.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28041
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
10749
398.0 IPS |
|
|
Text Classification (SP)
|
100% |
1372
1.83 KIPS |
|
|
Text Classification (HP)
|
99% |
2178
2.91 KIPS |
|
|
Text Classification (Q)
|
97% |
913
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2846
49.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2849
49.1 IPS |
|
|
Machine Translation (Q)
|
60% |
1129
25.2 IPS |
