Micro-Star International Co., Ltd. MS-7D70
Geekbench AI Score
9884
Single Precision Score
9985
Half Precision Score
23741
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | MikeSW17 |
| Upload Date | September 08 2025 09:09 PM |
| Views | 7 |
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% |
5391
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
5538
1.03 KIPS |
|
|
Image Classification (Q)
|
100% |
14319
2.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7622
123.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7567
122.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19695
319.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16547
19.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16652
19.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
65533
76.7 IPS |
|
|
Object Detection (SP)
|
100% |
6152
488.0 IPS |
|
|
Object Detection (HP)
|
100% |
6240
495.0 IPS |
|
|
Object Detection (Q)
|
88% |
15522
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
14416
171.3 IPS |
|
|
Face Detection (HP)
|
100% |
14788
175.7 IPS |
|
|
Face Detection (Q)
|
100% |
37738
448.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
15851
122.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15698
120.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
47625
370.7 IPS |
|
|
Style Transfer (SP)
|
100% |
43150
55.5 IPS |
|
|
Style Transfer (HP)
|
100% |
43425
55.8 IPS |
|
|
Style Transfer (Q)
|
98% |
157659
203.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8880
327.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8808
325.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24433
904.9 IPS |
|
|
Text Classification (SP)
|
100% |
3887
5.19 KIPS |
|
|
Text Classification (HP)
|
100% |
3975
5.31 KIPS |
|
|
Text Classification (Q)
|
92% |
4438
5.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
6251
107.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6415
110.5 IPS |
|
|
Machine Translation (Q)
|
100% |
6456
111.2 IPS |
