Micro-Star International Co., Ltd. MS-7D75
Geekbench AI Score
8669
Single Precision Score
2887
Half Precision Score
10382
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 03 2025 08:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D75 |
| Motherboard | Micro-Star International Co., Ltd. MAG B650 TOMAHAWK WIFI (MS-7D75) |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8265
1.54 KIPS |
|
|
Image Classification (HP)
|
100% |
1033
192.0 IPS |
|
|
Image Classification (Q)
|
99% |
14599
2.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3816
61.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1456
23.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3586
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12882
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
11281
13.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
52047
61.0 IPS |
|
|
Object Detection (SP)
|
100% |
7082
561.7 IPS |
|
|
Object Detection (HP)
|
100% |
1245
98.7 IPS |
|
|
Object Detection (Q)
|
86% |
9452
759.6 IPS |
|
|
Face Detection (SP)
|
100% |
20348
241.8 IPS |
|
|
Face Detection (HP)
|
100% |
2997
35.6 IPS |
|
|
Face Detection (Q)
|
97% |
14564
173.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
17640
135.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4308
33.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
36506
291.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27939
35.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21015
27.0 IPS |
|
|
Style Transfer (Q)
|
98% |
43105
55.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4801
177.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4251
157.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6874
254.5 IPS |
|
|
Text Classification (SP)
|
100% |
3273
4.37 KIPS |
|
|
Text Classification (HP)
|
100% |
1295
1.73 KIPS |
|
|
Text Classification (Q)
|
97% |
641
859.2 IPS |
|
|
Machine Translation (SP)
|
100% |
5287
91.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1275
22.0 IPS |
|
|
Machine Translation (Q)
|
65% |
5597
112.5 IPS |
