Micro-Star International Co., Ltd. MS-7D75
Geekbench AI Score
5544
Single Precision Score
2538
Half Precision Score
7415
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 06:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Famille (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D75 |
| Motherboard | Micro-Star International Co., Ltd. MAG B650 TOMAHAWK WIFI (MS-7D75) |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X 12-Core Processor |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2555
475.1 IPS |
|
|
Image Classification (HP)
|
100% |
760
141.4 IPS |
|
|
Image Classification (Q)
|
99% |
6767
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2555
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1380
22.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3546
57.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16315
19.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
12573
14.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
67167
78.7 IPS |
|
|
Object Detection (SP)
|
100% |
3327
263.9 IPS |
|
|
Object Detection (HP)
|
100% |
957
75.9 IPS |
|
|
Object Detection (Q)
|
88% |
3484
279.2 IPS |
|
|
Face Detection (SP)
|
100% |
4751
56.5 IPS |
|
|
Face Detection (HP)
|
100% |
2488
29.6 IPS |
|
|
Face Detection (Q)
|
97% |
7253
86.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12272
94.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3752
28.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
15372
123.0 IPS |
|
|
Style Transfer (SP)
|
100% |
35733
45.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26692
34.3 IPS |
|
|
Style Transfer (Q)
|
98% |
50222
64.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3995
147.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3651
134.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6919
256.2 IPS |
|
|
Text Classification (SP)
|
100% |
2500
3.34 KIPS |
|
|
Text Classification (HP)
|
100% |
1026
1.37 KIPS |
|
|
Text Classification (Q)
|
97% |
645
863.9 IPS |
|
|
Machine Translation (SP)
|
100% |
3727
64.2 IPS |
|
|
Machine Translation (HP)
|
100% |
942
16.2 IPS |
|
|
Machine Translation (Q)
|
60% |
3583
79.9 IPS |
