Micro-Star International Co., Ltd. MS-7D75
Geekbench AI Score
13353
Single Precision Score
13332
Half Precision Score
32600
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 03 2025 08:19 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
8806
1.64 KIPS |
|
|
Image Classification (HP)
|
100% |
8662
1.61 KIPS |
|
|
Image Classification (Q)
|
100% |
21111
3.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8952
145.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8996
145.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
25182
408.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15846
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15800
18.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
63266
74.1 IPS |
|
|
Object Detection (SP)
|
100% |
8273
656.2 IPS |
|
|
Object Detection (HP)
|
100% |
8316
659.6 IPS |
|
|
Object Detection (Q)
|
88% |
21381
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
25874
307.4 IPS |
|
|
Face Detection (HP)
|
100% |
25032
297.4 IPS |
|
|
Face Detection (Q)
|
100% |
53033
630.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20970
161.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
20963
161.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
58678
456.7 IPS |
|
|
Style Transfer (SP)
|
100% |
44829
57.6 IPS |
|
|
Style Transfer (HP)
|
100% |
44949
57.8 IPS |
|
|
Style Transfer (Q)
|
98% |
158059
203.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9910
365.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9827
362.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31198
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
6395
8.54 KIPS |
|
|
Text Classification (HP)
|
100% |
6582
8.78 KIPS |
|
|
Text Classification (Q)
|
92% |
8943
12.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
11313
194.9 IPS |
|
|
Machine Translation (HP)
|
100% |
11359
195.7 IPS |
|
|
Machine Translation (Q)
|
100% |
13740
236.7 IPS |
