Micro-Star International Co., Ltd. MS-7E51
Geekbench AI Score
201
Single Precision Score
201
Half Precision Score
151
Quantized Score
Geekbench AI 1.2.0 for Linux x86 (64-bit)
Result Information
| Upload Date | December 09 2024 04:36 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.10 |
| Model | Micro-Star International Co., Ltd. MS-7E51 |
| Motherboard | Micro-Star International Co., Ltd. MAG X870 TOMAHAWK WIFI (MS-7E51) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X 12-Core Processor |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.66 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
117
21.8 IPS |
|
|
Image Classification (HP)
|
100% |
117
21.7 IPS |
|
|
Image Classification (Q)
|
97% |
95
17.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
159
2.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
161
2.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
126
2.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
189
0.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
189
0.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
159
0.19 IPS |
|
|
Object Detection (SP)
|
100% |
112
8.89 IPS |
|
|
Object Detection (HP)
|
100% |
112
8.91 IPS |
|
|
Object Detection (Q)
|
87% |
92
7.36 IPS |
|
|
Face Detection (SP)
|
100% |
385
4.58 IPS |
|
|
Face Detection (HP)
|
100% |
385
4.57 IPS |
|
|
Face Detection (Q)
|
97% |
296
3.52 IPS |
|
|
Depth Estimation (SP)
|
100% |
272
2.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
272
2.10 IPS |
|
|
Depth Estimation (Q)
|
64% |
186
1.71 IPS |
|
|
Style Transfer (SP)
|
100% |
562
0.72 IPS |
|
|
Style Transfer (HP)
|
100% |
564
0.72 IPS |
|
|
Style Transfer (Q)
|
98% |
482
0.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
122
4.51 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
122
4.52 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
100
3.70 IPS |
|
|
Text Classification (SP)
|
100% |
145
193.9 IPS |
|
|
Text Classification (HP)
|
100% |
145
193.8 IPS |
|
|
Text Classification (Q)
|
91% |
106
142.3 IPS |
|
|
Machine Translation (SP)
|
100% |
268
4.62 IPS |
|
|
Machine Translation (HP)
|
100% |
269
4.63 IPS |
|
|
Machine Translation (Q)
|
58% |
132
3.16 IPS |
