Micro-Star International Co., Ltd. MS-7D75
Geekbench AI Score
3204
Single Precision Score
7570
Half Precision Score
1407
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 30 2025 09:11 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| 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% |
1604
298.4 IPS |
|
|
Image Classification (HP)
|
100% |
1853
344.6 IPS |
|
|
Image Classification (Q)
|
99% |
1555
290.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6300
102.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9266
150.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4984
81.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2646
3.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
11692
13.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
470
0.55 IPS |
|
|
Object Detection (SP)
|
100% |
3228
256.0 IPS |
|
|
Object Detection (HP)
|
100% |
3866
306.6 IPS |
|
|
Object Detection (Q)
|
83% |
2964
239.5 IPS |
|
|
Face Detection (SP)
|
100% |
10524
125.0 IPS |
|
|
Face Detection (HP)
|
100% |
20235
240.4 IPS |
|
|
Face Detection (Q)
|
97% |
9240
110.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1713
13.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
31560
243.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
236
1.89 IPS |
|
|
Style Transfer (SP)
|
100% |
10975
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
243325
312.8 IPS |
|
|
Style Transfer (Q)
|
98% |
771
0.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7305
269.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8859
327.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6378
236.2 IPS |
|
|
Text Classification (SP)
|
100% |
418
558.5 IPS |
|
|
Text Classification (HP)
|
100% |
292
389.5 IPS |
|
|
Text Classification (Q)
|
97% |
362
485.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2189
37.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1983
34.2 IPS |
|
|
Machine Translation (Q)
|
70% |
728
13.7 IPS |
