Micro-Star International Co., Ltd. MS-7D75
Geekbench AI Score
13885
Single Precision Score
13891
Half Precision Score
35873
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 11 2025 04:10 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D75 |
| Motherboard | Micro-Star International Co., Ltd. MAG B650 TOMAHAWK WIFI (MS-7D75) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9246
1.72 KIPS |
|
|
Image Classification (HP)
|
100% |
9221
1.71 KIPS |
|
|
Image Classification (Q)
|
100% |
22515
4.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9594
155.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8950
145.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24721
400.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18465
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18530
21.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
74118
86.8 IPS |
|
|
Object Detection (SP)
|
100% |
8409
667.0 IPS |
|
|
Object Detection (HP)
|
100% |
8464
671.4 IPS |
|
|
Object Detection (Q)
|
88% |
23921
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
18188
216.1 IPS |
|
|
Face Detection (HP)
|
100% |
18016
214.1 IPS |
|
|
Face Detection (Q)
|
100% |
58723
697.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20720
159.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
20816
160.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
65990
513.5 IPS |
|
|
Style Transfer (SP)
|
100% |
52295
67.2 IPS |
|
|
Style Transfer (HP)
|
100% |
51132
65.7 IPS |
|
|
Style Transfer (Q)
|
98% |
186857
240.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11618
429.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11826
436.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34715
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
7193
9.60 KIPS |
|
|
Text Classification (HP)
|
100% |
7288
9.73 KIPS |
|
|
Text Classification (Q)
|
92% |
9692
13.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
11746
202.3 IPS |
|
|
Machine Translation (HP)
|
100% |
12513
215.5 IPS |
|
|
Machine Translation (Q)
|
100% |
14683
252.9 IPS |
