Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
2349
Single Precision Score
2332
Half Precision Score
1896
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | m8118 |
| Upload Date | October 11 2024 11:33 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | Micro-Star International Co., Ltd. MS-7C56 |
| Motherboard | Micro-Star International Co., Ltd. MPG B550 GAMING PLUS (MS-7C56) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 5.08 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1662
309.0 IPS |
|
|
Image Classification (HP)
|
100% |
1677
311.8 IPS |
|
|
Image Classification (Q)
|
99% |
1316
245.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2558
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2471
40.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1338
21.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2979
3.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
2967
3.46 IPS |
|
|
Pose Estimation (Q)
|
96% |
4674
5.48 IPS |
|
|
Object Detection (SP)
|
100% |
1809
143.5 IPS |
|
|
Object Detection (HP)
|
100% |
1788
141.8 IPS |
|
|
Object Detection (Q)
|
85% |
1576
126.9 IPS |
|
|
Face Detection (SP)
|
100% |
2741
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
2836
33.7 IPS |
|
|
Face Detection (Q)
|
97% |
2751
32.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2611
20.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2657
20.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
2336
21.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3146
4.04 IPS |
|
|
Style Transfer (HP)
|
100% |
3128
4.02 IPS |
|
|
Style Transfer (Q)
|
98% |
6975
8.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1800
66.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1807
66.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1975
73.2 IPS |
|
|
Text Classification (SP)
|
100% |
1678
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
1668
2.23 KIPS |
|
|
Text Classification (Q)
|
92% |
775
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3294
56.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3048
52.5 IPS |
|
|
Machine Translation (Q)
|
58% |
678
15.9 IPS |
