Micro-Star International Co., Ltd. MS-7D70
Geekbench AI Score
5400
Single Precision Score
2032
Half Precision Score
10741
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | MikeSW17 |
| Upload Date | October 16 2025 09:16 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% |
4241
788.7 IPS |
|
|
Image Classification (HP)
|
100% |
650
120.9 IPS |
|
|
Image Classification (Q)
|
99% |
9937
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2368
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
894
14.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
14537
236.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11806
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
9196
10.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
42914
50.3 IPS |
|
|
Object Detection (SP)
|
100% |
4292
340.5 IPS |
|
|
Object Detection (HP)
|
100% |
820
65.1 IPS |
|
|
Object Detection (Q)
|
86% |
10978
882.3 IPS |
|
|
Face Detection (SP)
|
100% |
8620
102.4 IPS |
|
|
Face Detection (HP)
|
100% |
1593
18.9 IPS |
|
|
Face Detection (Q)
|
97% |
12080
144.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12320
94.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3003
23.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
22615
180.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26780
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
24102
31.0 IPS |
|
|
Style Transfer (Q)
|
98% |
39963
51.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2783
102.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2568
94.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5147
190.6 IPS |
|
|
Text Classification (SP)
|
100% |
1732
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
872
1.16 KIPS |
|
|
Text Classification (Q)
|
97% |
1364
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3026
52.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1066
18.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3920
78.8 IPS |
