Micro-Star International Co., Ltd. MS-7E47
Geekbench AI Score
251
Single Precision Score
251
Half Precision Score
187
Quantized Score
Geekbench AI 1.5.0 for Linux x86 (64-bit)
Result Information
| User | nullify |
| Upload Date | October 01 2025 09:14 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.04 |
| Model | Micro-Star International Co., Ltd. MS-7E47 |
| Motherboard | Micro-Star International Co., Ltd. PRO X870-P WIFI (MS-7E47) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.85 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
149
27.7 IPS |
|
|
Image Classification (HP)
|
100% |
148
27.6 IPS |
|
|
Image Classification (Q)
|
97% |
121
22.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
203
3.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
203
3.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
155
2.52 IPS |
|
|
Pose Estimation (SP)
|
100% |
238
0.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
238
0.28 IPS |
|
|
Pose Estimation (Q)
|
96% |
201
0.24 IPS |
|
|
Object Detection (SP)
|
100% |
144
11.4 IPS |
|
|
Object Detection (HP)
|
100% |
144
11.4 IPS |
|
|
Object Detection (Q)
|
87% |
116
9.34 IPS |
|
|
Face Detection (SP)
|
100% |
479
5.69 IPS |
|
|
Face Detection (HP)
|
100% |
478
5.68 IPS |
|
|
Face Detection (Q)
|
97% |
371
4.42 IPS |
|
|
Depth Estimation (SP)
|
100% |
340
2.62 IPS |
|
|
Depth Estimation (HP)
|
99% |
339
2.61 IPS |
|
|
Depth Estimation (Q)
|
64% |
233
2.14 IPS |
|
|
Style Transfer (SP)
|
100% |
702
0.90 IPS |
|
|
Style Transfer (HP)
|
100% |
703
0.90 IPS |
|
|
Style Transfer (Q)
|
98% |
601
0.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
154
5.69 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
153
5.66 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
126
4.65 IPS |
|
|
Text Classification (SP)
|
100% |
183
244.5 IPS |
|
|
Text Classification (HP)
|
100% |
184
245.2 IPS |
|
|
Text Classification (Q)
|
91% |
130
174.4 IPS |
|
|
Machine Translation (SP)
|
100% |
300
5.16 IPS |
|
|
Machine Translation (HP)
|
100% |
305
5.26 IPS |
|
|
Machine Translation (Q)
|
58% |
141
3.37 IPS |
