Micro-Star International Co., Ltd. MS-7D75
Geekbench AI Score
233
Single Precision Score
233
Half Precision Score
146
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| Upload Date | May 09 2025 07:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X |
| System Information | |
|---|---|
| Operating System | TUXEDO OS |
| Model | Micro-Star International Co., Ltd. MS-7D75 |
| Motherboard | Micro-Star International Co., Ltd. MAG B650 TOMAHAWK WIFI (MS-7D75) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.88 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 124.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
140
26.1 IPS |
|
|
Image Classification (HP)
|
100% |
140
26.1 IPS |
|
|
Image Classification (Q)
|
97% |
95
17.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
193
3.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
194
3.15 IPS |
|
|
Image Segmentation (Q)
|
98% |
126
2.04 IPS |
|
|
Pose Estimation (SP)
|
100% |
223
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
221
0.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
154
0.18 IPS |
|
|
Object Detection (SP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (HP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (Q)
|
87% |
91
7.34 IPS |
|
|
Face Detection (SP)
|
100% |
435
5.16 IPS |
|
|
Face Detection (HP)
|
100% |
434
5.15 IPS |
|
|
Face Detection (Q)
|
97% |
297
3.54 IPS |
|
|
Depth Estimation (SP)
|
100% |
317
2.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
318
2.45 IPS |
|
|
Depth Estimation (Q)
|
64% |
183
1.69 IPS |
|
|
Style Transfer (SP)
|
100% |
639
0.82 IPS |
|
|
Style Transfer (HP)
|
100% |
641
0.82 IPS |
|
|
Style Transfer (Q)
|
98% |
468
0.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
142
5.23 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
142
5.25 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
96
3.57 IPS |
|
|
Text Classification (SP)
|
100% |
171
228.0 IPS |
|
|
Text Classification (HP)
|
100% |
171
228.4 IPS |
|
|
Text Classification (Q)
|
91% |
105
140.8 IPS |
|
|
Machine Translation (SP)
|
100% |
278
4.78 IPS |
|
|
Machine Translation (HP)
|
100% |
278
4.79 IPS |
|
|
Machine Translation (Q)
|
58% |
109
2.59 IPS |
