Micro-Star International Co., Ltd. MS-7D70
Geekbench AI Score
9804
Single Precision Score
9780
Half Precision Score
23748
Quantized Score
Geekbench AI 1.5.0 Corporate for Windows AVX2
Result Information
| User | MikeSW17 |
| Upload Date | September 12 2025 11:16 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X 16-Core Processor |
| 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% |
5435
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
5492
1.02 KIPS |
|
|
Image Classification (Q)
|
100% |
13832
2.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7387
119.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7151
115.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
20634
334.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15857
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16269
19.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
65603
76.8 IPS |
|
|
Object Detection (SP)
|
100% |
6407
508.2 IPS |
|
|
Object Detection (HP)
|
100% |
5954
472.3 IPS |
|
|
Object Detection (Q)
|
88% |
14948
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
14165
168.3 IPS |
|
|
Face Detection (HP)
|
100% |
14611
173.6 IPS |
|
|
Face Detection (Q)
|
100% |
39579
470.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
15691
120.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
16090
124.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
46266
360.0 IPS |
|
|
Style Transfer (SP)
|
100% |
42676
54.9 IPS |
|
|
Style Transfer (HP)
|
100% |
43141
55.5 IPS |
|
|
Style Transfer (Q)
|
98% |
154386
199.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8702
321.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8706
321.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25111
930.0 IPS |
|
|
Text Classification (SP)
|
100% |
3965
5.29 KIPS |
|
|
Text Classification (HP)
|
100% |
3888
5.19 KIPS |
|
|
Text Classification (Q)
|
92% |
4382
5.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
6147
105.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6133
105.6 IPS |
|
|
Machine Translation (Q)
|
100% |
6553
112.9 IPS |
