Micro-Star International Co., Ltd. MS-7D70
Geekbench AI Score
2622
Single Precision Score
2629
Half Precision Score
2357
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | GuiltyDoggy |
| Upload Date | August 08 2025 10:32 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X |
| System Information | |
|---|---|
| Operating System | Fedora Linux 42.20250808.0 (Kinoite) |
| 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 | 93.39 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1675
311.5 IPS |
|
|
Image Classification (HP)
|
100% |
1713
318.6 IPS |
|
|
Image Classification (Q)
|
99% |
1602
298.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3145
51.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3147
51.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1497
24.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3714
4.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
3751
4.38 IPS |
|
|
Pose Estimation (Q)
|
96% |
6169
7.23 IPS |
|
|
Object Detection (SP)
|
100% |
1952
154.8 IPS |
|
|
Object Detection (HP)
|
100% |
1974
156.5 IPS |
|
|
Object Detection (Q)
|
85% |
1980
159.4 IPS |
|
|
Face Detection (SP)
|
100% |
3032
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
3059
36.3 IPS |
|
|
Face Detection (Q)
|
97% |
3322
39.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3011
23.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3018
23.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2913
27.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4078
5.24 IPS |
|
|
Style Transfer (HP)
|
100% |
4037
5.19 IPS |
|
|
Style Transfer (Q)
|
98% |
8901
11.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1765
65.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1743
64.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2553
94.6 IPS |
|
|
Text Classification (SP)
|
100% |
1643
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
1725
2.30 KIPS |
|
|
Text Classification (Q)
|
92% |
947
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3736
64.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3527
60.8 IPS |
|
|
Machine Translation (Q)
|
58% |
869
20.4 IPS |
