Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
702
Single Precision Score
688
Half Precision Score
458
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| Upload Date | January 04 2025 11:52 AM |
| Views | 2 |
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% |
287
53.4 IPS |
|
|
Image Classification (HP)
|
100% |
333
61.9 IPS |
|
|
Image Classification (Q)
|
99% |
204
38.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
535
8.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
502
8.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
379
6.17 IPS |
|
|
Pose Estimation (SP)
|
100% |
1267
1.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
1418
1.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
1620
1.90 IPS |
|
|
Object Detection (SP)
|
100% |
630
50.0 IPS |
|
|
Object Detection (HP)
|
100% |
506
40.1 IPS |
|
|
Object Detection (Q)
|
85% |
251
20.2 IPS |
|
|
Face Detection (SP)
|
100% |
919
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
857
10.2 IPS |
|
|
Face Detection (Q)
|
97% |
785
9.36 IPS |
|
|
Depth Estimation (SP)
|
100% |
1027
7.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
1002
7.72 IPS |
|
|
Depth Estimation (Q)
|
63% |
684
6.41 IPS |
|
|
Style Transfer (SP)
|
100% |
1571
2.02 IPS |
|
|
Style Transfer (HP)
|
100% |
1584
2.04 IPS |
|
|
Style Transfer (Q)
|
98% |
2873
3.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
540
19.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
593
21.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
480
17.8 IPS |
|
|
Text Classification (SP)
|
100% |
373
498.1 IPS |
|
|
Text Classification (HP)
|
100% |
388
518.5 IPS |
|
|
Text Classification (Q)
|
92% |
106
142.4 IPS |
|
|
Machine Translation (SP)
|
100% |
801
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
635
10.9 IPS |
|
|
Machine Translation (Q)
|
58% |
165
3.87 IPS |
