Micro-Star International Co., Ltd. MS-7D70
Geekbench AI Score
5751
Single Precision Score
1914
Half Precision Score
9660
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | MikeSW17 |
| Upload Date | September 08 2025 09:06 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X |
| 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) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4541
844.5 IPS |
|
|
Image Classification (HP)
|
100% |
589
109.5 IPS |
|
|
Image Classification (Q)
|
99% |
10133
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2540
41.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
813
13.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4340
70.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14683
17.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10220
11.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
45035
52.8 IPS |
|
|
Object Detection (SP)
|
100% |
4565
362.1 IPS |
|
|
Object Detection (HP)
|
100% |
756
60.0 IPS |
|
|
Object Detection (Q)
|
86% |
11180
898.5 IPS |
|
|
Face Detection (SP)
|
100% |
8225
97.7 IPS |
|
|
Face Detection (HP)
|
100% |
1532
18.2 IPS |
|
|
Face Detection (Q)
|
97% |
12412
148.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13258
102.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2933
22.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
21855
174.4 IPS |
|
|
Style Transfer (SP)
|
100% |
28583
36.7 IPS |
|
|
Style Transfer (HP)
|
100% |
25965
33.4 IPS |
|
|
Style Transfer (Q)
|
98% |
40035
51.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2976
109.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2550
94.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4097
151.7 IPS |
|
|
Text Classification (SP)
|
100% |
1569
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
739
986.0 IPS |
|
|
Text Classification (Q)
|
97% |
1572
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3518
60.6 IPS |
|
|
Machine Translation (HP)
|
100% |
812
14.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4573
91.9 IPS |
