Micro-Star International Co., Ltd. MS-7D75
Geekbench AI Score
5674
Single Precision Score
2271
Half Precision Score
10749
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 30 2025 09:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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) |
| 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% |
4594
854.3 IPS |
|
|
Image Classification (HP)
|
100% |
806
149.9 IPS |
|
|
Image Classification (Q)
|
99% |
12292
2.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2269
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1228
19.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4441
72.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9296
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
7681
8.96 IPS |
|
|
Pose Estimation (Q)
|
94% |
39204
46.0 IPS |
|
|
Object Detection (SP)
|
100% |
4521
358.6 IPS |
|
|
Object Detection (HP)
|
100% |
1025
81.3 IPS |
|
|
Object Detection (Q)
|
86% |
12098
972.3 IPS |
|
|
Face Detection (SP)
|
100% |
8160
97.0 IPS |
|
|
Face Detection (HP)
|
100% |
2204
26.2 IPS |
|
|
Face Detection (Q)
|
97% |
13230
157.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11972
92.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3279
25.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
25454
203.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21125
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
17343
22.3 IPS |
|
|
Style Transfer (Q)
|
98% |
33474
43.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3734
137.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3242
119.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5646
209.1 IPS |
|
|
Text Classification (SP)
|
100% |
2725
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
1150
1.54 KIPS |
|
|
Text Classification (Q)
|
97% |
2389
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3761
64.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1004
17.3 IPS |
|
|
Machine Translation (Q)
|
65% |
5232
105.1 IPS |
