Micro-Star International Co., Ltd. MS-7D70
Geekbench AI Score
2805
Single Precision Score
2795
Half Precision Score
2469
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | octra |
| Upload Date | August 14 2025 08:45 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X |
| System Information | |
|---|---|
| Operating System | CachyOS |
| 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 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 | 30.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1811
336.9 IPS |
|
|
Image Classification (HP)
|
100% |
1794
333.7 IPS |
|
|
Image Classification (Q)
|
99% |
1698
316.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3396
55.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3290
53.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1609
26.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4188
4.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
4146
4.84 IPS |
|
|
Pose Estimation (Q)
|
96% |
6599
7.73 IPS |
|
|
Object Detection (SP)
|
100% |
2060
163.4 IPS |
|
|
Object Detection (HP)
|
100% |
2055
163.0 IPS |
|
|
Object Detection (Q)
|
85% |
2105
169.5 IPS |
|
|
Face Detection (SP)
|
100% |
3127
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
3153
37.5 IPS |
|
|
Face Detection (Q)
|
97% |
3495
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3156
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3150
24.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
3025
28.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4495
5.78 IPS |
|
|
Style Transfer (HP)
|
100% |
4449
5.72 IPS |
|
|
Style Transfer (Q)
|
98% |
9244
11.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1879
69.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1887
69.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2699
100.0 IPS |
|
|
Text Classification (SP)
|
100% |
1821
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
1881
2.51 KIPS |
|
|
Text Classification (Q)
|
92% |
977
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3751
64.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3697
63.7 IPS |
|
|
Machine Translation (Q)
|
58% |
862
20.2 IPS |
