Micro-Star International Co., Ltd. MS-7D70
Geekbench AI Score
4469
Single Precision Score
1644
Half Precision Score
9057
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | December 22 2025 09:33 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D70 |
| Motherboard | Micro-Star International Co., Ltd. MPG X670E CARBON WIFI (MS-7D70) |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3684
685.0 IPS |
|
|
Image Classification (HP)
|
100% |
587
109.1 IPS |
|
|
Image Classification (Q)
|
99% |
8958
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2234
36.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
787
12.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
12896
209.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10171
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
7382
8.61 IPS |
|
|
Pose Estimation (Q)
|
94% |
27015
31.7 IPS |
|
|
Object Detection (SP)
|
100% |
3308
262.4 IPS |
|
|
Object Detection (HP)
|
100% |
655
51.9 IPS |
|
|
Object Detection (Q)
|
86% |
8453
679.4 IPS |
|
|
Face Detection (SP)
|
100% |
7068
84.0 IPS |
|
|
Face Detection (HP)
|
100% |
1432
17.0 IPS |
|
|
Face Detection (Q)
|
97% |
11573
138.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9700
74.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2125
16.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
20918
166.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20480
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19888
25.6 IPS |
|
|
Style Transfer (Q)
|
98% |
28435
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2325
85.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1907
70.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3901
144.5 IPS |
|
|
Text Classification (SP)
|
100% |
1293
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
577
770.6 IPS |
|
|
Text Classification (Q)
|
97% |
1359
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2720
46.9 IPS |
|
|
Machine Translation (HP)
|
100% |
970
16.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3858
77.5 IPS |
