Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
1895
Single Precision Score
1884
Half Precision Score
1378
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| Upload Date | July 19 2025 07:37 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| 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 2 |
| Base Frequency | 4.85 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1809
336.4 IPS |
|
|
Image Classification (HP)
|
100% |
1824
339.3 IPS |
|
|
Image Classification (Q)
|
99% |
952
177.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1857
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1728
28.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
941
15.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1658
1.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
1656
1.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
2643
3.10 IPS |
|
|
Object Detection (SP)
|
100% |
1943
154.1 IPS |
|
|
Object Detection (HP)
|
100% |
1922
152.4 IPS |
|
|
Object Detection (Q)
|
85% |
903
72.7 IPS |
|
|
Face Detection (SP)
|
100% |
1902
22.6 IPS |
|
|
Face Detection (HP)
|
100% |
1919
22.8 IPS |
|
|
Face Detection (Q)
|
97% |
2206
26.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1794
13.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1764
13.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
1839
17.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1592
2.05 IPS |
|
|
Style Transfer (HP)
|
100% |
1548
1.99 IPS |
|
|
Style Transfer (Q)
|
98% |
4174
5.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2299
84.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2271
83.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1482
54.9 IPS |
|
|
Text Classification (SP)
|
100% |
2217
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
2330
3.11 KIPS |
|
|
Text Classification (Q)
|
92% |
739
993.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1996
34.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2033
35.0 IPS |
|
|
Machine Translation (Q)
|
58% |
625
14.7 IPS |
