Micro-Star International Co., Ltd. MS-7D75
Geekbench AI Score
33066
Single Precision Score
47324
Half Precision Score
28456
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | May 28 2025 11:00 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D75 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650-A WIFI (MS-7D75) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15224
2.83 KIPS |
|
|
Image Classification (HP)
|
100% |
18670
3.47 KIPS |
|
|
Image Classification (Q)
|
99% |
13981
2.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16706
270.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19196
311.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
21982
357.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
201825
235.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
649607
758.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
184447
216.1 IPS |
|
|
Object Detection (SP)
|
100% |
14398
1.14 KIPS |
|
|
Object Detection (HP)
|
99% |
20945
1.66 KIPS |
|
|
Object Detection (Q)
|
87% |
13437
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
50050
594.7 IPS |
|
|
Face Detection (HP)
|
100% |
55929
664.6 IPS |
|
|
Face Detection (Q)
|
97% |
44759
533.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
81221
625.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
128878
992.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
69414
556.3 IPS |
|
|
Style Transfer (SP)
|
100% |
366303
470.9 IPS |
|
|
Style Transfer (HP)
|
100% |
762489
980.2 IPS |
|
|
Style Transfer (Q)
|
98% |
334407
431.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53050
1.96 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84244
3.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44415
1.64 KIPS |
|
|
Text Classification (SP)
|
100% |
4437
5.92 KIPS |
|
|
Text Classification (HP)
|
100% |
4062
5.42 KIPS |
|
|
Text Classification (Q)
|
97% |
2690
3.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
6033
103.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6144
105.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3683
69.1 IPS |
