Micro-Star International Co., Ltd. MS-7D54
Geekbench AI Score
18191
Single Precision Score
30085
Half Precision Score
14507
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | kreator |
| Upload Date | March 19 2025 09:52 PM |
| Views | 35 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D54 |
| Motherboard | Micro-Star International Co., Ltd. MAG X570S TORPEDO MAX (MS-7D54) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7343
1.37 KIPS |
|
|
Image Classification (HP)
|
99% |
12707
2.37 KIPS |
|
|
Image Classification (Q)
|
99% |
6606
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12937
209.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
17815
288.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
11738
190.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
90269
105.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
246313
287.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
79959
93.7 IPS |
|
|
Object Detection (SP)
|
100% |
9071
719.6 IPS |
|
|
Object Detection (HP)
|
100% |
15549
1.23 KIPS |
|
|
Object Detection (Q)
|
84% |
8132
655.9 IPS |
|
|
Face Detection (SP)
|
100% |
21872
259.9 IPS |
|
|
Face Detection (HP)
|
100% |
34950
415.3 IPS |
|
|
Face Detection (Q)
|
97% |
19367
230.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
44188
340.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
82590
636.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
36692
293.5 IPS |
|
|
Style Transfer (SP)
|
100% |
145329
186.8 IPS |
|
|
Style Transfer (HP)
|
100% |
356346
458.1 IPS |
|
|
Style Transfer (Q)
|
98% |
132035
170.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29399
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46685
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22412
829.9 IPS |
|
|
Text Classification (SP)
|
100% |
3031
4.05 KIPS |
|
|
Text Classification (HP)
|
99% |
3392
4.53 KIPS |
|
|
Text Classification (Q)
|
97% |
1935
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
4076
70.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4302
74.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2013
37.8 IPS |
