Micro-Star International Co., Ltd. MS-7D70
Geekbench AI Score
2310
Single Precision Score
2369
Half Precision Score
2134
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | December 11 2025 03:47 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D |
| 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 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.76 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 61.98 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1309
243.5 IPS |
|
|
Image Classification (HP)
|
100% |
1585
294.7 IPS |
|
|
Image Classification (Q)
|
99% |
1509
281.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2883
46.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2829
45.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1284
20.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3704
4.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
3577
4.17 IPS |
|
|
Pose Estimation (Q)
|
96% |
5804
6.80 IPS |
|
|
Object Detection (SP)
|
100% |
1742
138.2 IPS |
|
|
Object Detection (HP)
|
100% |
1771
140.5 IPS |
|
|
Object Detection (Q)
|
85% |
1721
138.5 IPS |
|
|
Face Detection (SP)
|
100% |
2664
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
2806
33.3 IPS |
|
|
Face Detection (Q)
|
97% |
3192
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2689
20.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2674
20.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
2749
25.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3491
4.49 IPS |
|
|
Style Transfer (HP)
|
100% |
3479
4.47 IPS |
|
|
Style Transfer (Q)
|
98% |
7552
9.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1607
59.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1616
59.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2455
91.0 IPS |
|
|
Text Classification (SP)
|
100% |
1577
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
1549
2.07 KIPS |
|
|
Text Classification (Q)
|
92% |
885
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2810
48.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3008
51.8 IPS |
|
|
Machine Translation (Q)
|
58% |
704
16.5 IPS |
