Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
2469
Single Precision Score
2486
Half Precision Score
1200
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | smtahmid |
| Upload Date | August 19 2024 04:36 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 5600 |
| System Information | |
|---|---|
| Operating System | Fedora Linux 40 (Workstation Edition) |
| Model | Micro-Star International Co., Ltd. MS-7C56 |
| Motherboard | Micro-Star International Co., Ltd. B550-A PRO (MS-7C56) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.68 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1851
344.2 IPS |
|
|
Image Classification (HP)
|
100% |
1850
344.1 IPS |
|
|
Image Classification (Q)
|
99% |
737
137.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2301
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2345
38.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
820
13.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2670
3.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
2693
3.14 IPS |
|
|
Pose Estimation (Q)
|
96% |
2086
2.44 IPS |
|
|
Object Detection (SP)
|
100% |
1923
152.5 IPS |
|
|
Object Detection (HP)
|
100% |
1943
154.1 IPS |
|
|
Object Detection (Q)
|
86% |
781
62.8 IPS |
|
|
Face Detection (SP)
|
100% |
3244
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
3246
38.6 IPS |
|
|
Face Detection (Q)
|
97% |
1997
23.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2844
21.9 IPS |
|
|
Depth Estimation (HP)
|
100% |
2878
22.2 IPS |
|
|
Depth Estimation (Q)
|
74% |
1732
14.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2974
3.82 IPS |
|
|
Style Transfer (HP)
|
100% |
2993
3.85 IPS |
|
|
Style Transfer (Q)
|
98% |
4212
5.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2178
80.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2191
80.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1123
41.6 IPS |
|
|
Text Classification (SP)
|
100% |
2127
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2139
2.86 KIPS |
|
|
Text Classification (Q)
|
92% |
670
900.7 IPS |
|
|
Machine Translation (SP)
|
100% |
3035
52.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3035
52.3 IPS |
|
|
Machine Translation (Q)
|
58% |
578
13.6 IPS |
