Micro-Star International Co., Ltd. MS-7E30
Geekbench AI Score
21647
Single Precision Score
38692
Half Precision Score
16892
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 06:08 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E30 |
| Motherboard | Micro-Star International Co., Ltd. B650M GAMING WIFI (MS-7E30) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9196
1.71 KIPS |
|
|
Image Classification (HP)
|
100% |
15872
2.95 KIPS |
|
|
Image Classification (Q)
|
100% |
8412
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14195
230.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19793
320.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
13242
215.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
120357
140.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
371218
433.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
111639
130.8 IPS |
|
|
Object Detection (SP)
|
100% |
11133
883.1 IPS |
|
|
Object Detection (HP)
|
100% |
19133
1.52 KIPS |
|
|
Object Detection (Q)
|
83% |
9547
771.4 IPS |
|
|
Face Detection (SP)
|
100% |
27900
331.5 IPS |
|
|
Face Detection (HP)
|
100% |
43340
515.0 IPS |
|
|
Face Detection (Q)
|
97% |
24449
291.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
53140
409.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
107277
826.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
43007
343.3 IPS |
|
|
Style Transfer (SP)
|
100% |
167936
215.9 IPS |
|
|
Style Transfer (HP)
|
100% |
568506
730.8 IPS |
|
|
Style Transfer (Q)
|
98% |
145715
187.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33286
1.23 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62979
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25064
928.1 IPS |
|
|
Text Classification (SP)
|
100% |
3655
4.88 KIPS |
|
|
Text Classification (HP)
|
100% |
4329
5.78 KIPS |
|
|
Text Classification (Q)
|
97% |
2246
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
4265
73.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4677
80.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1848
34.7 IPS |
