Micro-Star International Co., Ltd. MS-7D75
Geekbench AI Score
4175
Single Precision Score
9428
Half Precision Score
3555
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 30 2025 09:05 PM |
| Views | 2 |
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% |
2403
446.8 IPS |
|
|
Image Classification (HP)
|
100% |
2928
544.5 IPS |
|
|
Image Classification (Q)
|
99% |
2278
424.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
8758
142.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
11367
184.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
6499
105.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3290
3.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
14457
16.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
555
0.65 IPS |
|
|
Object Detection (SP)
|
100% |
4539
360.0 IPS |
|
|
Object Detection (HP)
|
100% |
5572
442.0 IPS |
|
|
Object Detection (Q)
|
83% |
4129
333.6 IPS |
|
|
Face Detection (SP)
|
100% |
680
8.08 IPS |
|
|
Face Detection (HP)
|
100% |
27364
325.1 IPS |
|
|
Face Detection (Q)
|
97% |
9133
108.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20429
157.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
31410
242.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
18057
144.4 IPS |
|
|
Style Transfer (SP)
|
100% |
67234
86.4 IPS |
|
|
Style Transfer (HP)
|
100% |
243131
312.5 IPS |
|
|
Style Transfer (Q)
|
98% |
46254
59.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7453
275.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12548
463.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6687
247.6 IPS |
|
|
Text Classification (SP)
|
100% |
412
549.7 IPS |
|
|
Text Classification (HP)
|
100% |
425
566.8 IPS |
|
|
Text Classification (Q)
|
97% |
246
329.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1789
30.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1859
32.0 IPS |
|
|
Machine Translation (Q)
|
70% |
759
14.2 IPS |
