Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
126
Single Precision Score
99
Half Precision Score
95
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| Upload Date | January 04 2025 12:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X |
| System Information | |
|---|---|
| Operating System | Fedora Linux 41 (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 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 4.85 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
49
9.17 IPS |
|
|
Image Classification (HP)
|
100% |
29
5.46 IPS |
|
|
Image Classification (Q)
|
99% |
29
5.34 IPS |
|
|
Image Segmentation (SP)
|
100% |
168
2.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
141
2.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
122
1.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
656
0.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
739
0.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
760
0.89 IPS |
|
|
Object Detection (SP)
|
100% |
70
5.57 IPS |
|
|
Object Detection (HP)
|
100% |
80
6.32 IPS |
|
|
Object Detection (Q)
|
85% |
58
4.68 IPS |
|
|
Face Detection (SP)
|
100% |
300
3.57 IPS |
|
|
Face Detection (HP)
|
100% |
173
2.06 IPS |
|
|
Face Detection (Q)
|
97% |
228
2.72 IPS |
|
|
Depth Estimation (SP)
|
100% |
273
2.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
307
2.37 IPS |
|
|
Depth Estimation (Q)
|
63% |
136
1.28 IPS |
|
|
Style Transfer (SP)
|
100% |
1164
1.50 IPS |
|
|
Style Transfer (HP)
|
100% |
1168
1.50 IPS |
|
|
Style Transfer (Q)
|
98% |
1588
2.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
102
3.77 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
127
4.70 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
95
3.54 IPS |
|
|
Text Classification (SP)
|
100% |
25
33.5 IPS |
|
|
Text Classification (HP)
|
100% |
5
6.99 IPS |
|
|
Text Classification (Q)
|
92% |
6
8.01 IPS |
|
|
Machine Translation (SP)
|
100% |
11
0.19 IPS |
|
|
Machine Translation (HP)
|
100% |
10
0.18 IPS |
|
|
Machine Translation (Q)
|
58% |
15
0.36 IPS |
