Micro-Star International Co., Ltd. MS-7D70
Geekbench AI Score
9785
Single Precision Score
9945
Half Precision Score
23795
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | MikeSW17 |
| Upload Date | October 16 2025 09:22 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% |
5552
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
5636
1.05 KIPS |
|
|
Image Classification (Q)
|
100% |
13821
2.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7648
124.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7767
125.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
20455
331.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16433
19.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16467
19.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
65358
76.5 IPS |
|
|
Object Detection (SP)
|
100% |
5977
474.1 IPS |
|
|
Object Detection (HP)
|
100% |
6019
477.4 IPS |
|
|
Object Detection (Q)
|
88% |
15401
1.23 KIPS |
|
|
Face Detection (SP)
|
100% |
13798
164.0 IPS |
|
|
Face Detection (HP)
|
100% |
14342
170.4 IPS |
|
|
Face Detection (Q)
|
100% |
39283
466.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16197
124.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
15859
122.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
46255
360.0 IPS |
|
|
Style Transfer (SP)
|
100% |
43327
55.7 IPS |
|
|
Style Transfer (HP)
|
100% |
43299
55.7 IPS |
|
|
Style Transfer (Q)
|
98% |
155571
200.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8649
319.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8749
323.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25077
928.7 IPS |
|
|
Text Classification (SP)
|
100% |
3863
5.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4016
5.36 KIPS |
|
|
Text Classification (Q)
|
92% |
4435
5.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5969
102.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6308
108.7 IPS |
|
|
Machine Translation (Q)
|
100% |
6507
112.1 IPS |
