Micro-Star International Co., Ltd. MS-7D70
Geekbench AI Score
141
Single Precision Score
141
Half Precision Score
91
Quantized Score
Geekbench AI 1.4.0 for Linux x86 (64-bit)
Result Information
| Upload Date | August 26 2025 07:43 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 7900X |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | Micro-Star International Co., Ltd. MS-7D70 |
| Motherboard | Micro-Star International Co., Ltd. MPG X670E CARBON WIFI (MS-7D70) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.73 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 61.98 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
84
15.6 IPS |
|
|
Image Classification (HP)
|
100% |
84
15.7 IPS |
|
|
Image Classification (Q)
|
97% |
56
10.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
117
1.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
115
1.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
77
1.25 IPS |
|
|
Pose Estimation (SP)
|
100% |
138
0.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
139
0.16 IPS |
|
|
Pose Estimation (Q)
|
96% |
98
0.11 IPS |
|
|
Object Detection (SP)
|
100% |
79
6.25 IPS |
|
|
Object Detection (HP)
|
100% |
79
6.27 IPS |
|
|
Object Detection (Q)
|
87% |
54
4.33 IPS |
|
|
Face Detection (SP)
|
100% |
266
3.16 IPS |
|
|
Face Detection (HP)
|
100% |
270
3.21 IPS |
|
|
Face Detection (Q)
|
97% |
185
2.20 IPS |
|
|
Depth Estimation (SP)
|
100% |
194
1.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
193
1.48 IPS |
|
|
Depth Estimation (Q)
|
64% |
113
1.04 IPS |
|
|
Style Transfer (SP)
|
100% |
421
0.54 IPS |
|
|
Style Transfer (HP)
|
100% |
421
0.54 IPS |
|
|
Style Transfer (Q)
|
98% |
302
0.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
89
3.28 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
89
3.28 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
62
2.31 IPS |
|
|
Text Classification (SP)
|
100% |
98
131.4 IPS |
|
|
Text Classification (HP)
|
100% |
93
124.6 IPS |
|
|
Text Classification (Q)
|
91% |
59
79.3 IPS |
|
|
Machine Translation (SP)
|
100% |
161
2.78 IPS |
|
|
Machine Translation (HP)
|
100% |
164
2.82 IPS |
|
|
Machine Translation (Q)
|
58% |
74
1.77 IPS |
