Micro-Star International Co., Ltd. MS-7D70
Geekbench AI Score
5894
Single Precision Score
2090
Half Precision Score
10996
Quantized Score
Geekbench AI 1.5.0 Corporate for Windows AVX2
Result Information
| User | MikeSW17 |
| Upload Date | September 12 2025 11:10 PM |
| Views | 4 |
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% |
4830
898.2 IPS |
|
|
Image Classification (HP)
|
100% |
648
120.6 IPS |
|
|
Image Classification (Q)
|
99% |
10194
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2456
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
887
14.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
14229
231.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15924
18.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
10572
12.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
44551
52.2 IPS |
|
|
Object Detection (SP)
|
100% |
4806
381.2 IPS |
|
|
Object Detection (HP)
|
100% |
838
66.5 IPS |
|
|
Object Detection (Q)
|
86% |
10990
883.2 IPS |
|
|
Face Detection (SP)
|
100% |
8874
105.4 IPS |
|
|
Face Detection (HP)
|
100% |
1618
19.2 IPS |
|
|
Face Detection (Q)
|
97% |
12370
147.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13936
107.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3066
23.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
24125
192.5 IPS |
|
|
Style Transfer (SP)
|
100% |
28328
36.4 IPS |
|
|
Style Transfer (HP)
|
100% |
26199
33.7 IPS |
|
|
Style Transfer (Q)
|
98% |
40303
52.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3028
111.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2613
96.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5409
200.3 IPS |
|
|
Text Classification (SP)
|
100% |
1615
2.16 KIPS |
|
|
Text Classification (HP)
|
100% |
848
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1368
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3255
56.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1086
18.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4091
82.2 IPS |
