Micro-Star International Co., Ltd. MS-7E30
Geekbench AI Score
21596
Single Precision Score
39034
Half Precision Score
16961
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 13 2025 01:36 PM |
| Views | 3 |
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 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9177
1.71 KIPS |
|
|
Image Classification (HP)
|
100% |
15968
2.97 KIPS |
|
|
Image Classification (Q)
|
100% |
8435
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14168
229.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20034
324.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
13405
218.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
119222
139.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
370538
432.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
111101
130.1 IPS |
|
|
Object Detection (SP)
|
100% |
11202
888.6 IPS |
|
|
Object Detection (HP)
|
100% |
19206
1.52 KIPS |
|
|
Object Detection (Q)
|
83% |
9621
777.3 IPS |
|
|
Face Detection (SP)
|
100% |
28019
332.9 IPS |
|
|
Face Detection (HP)
|
100% |
43889
521.5 IPS |
|
|
Face Detection (Q)
|
97% |
24668
294.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
53170
409.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
110300
849.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
42957
342.9 IPS |
|
|
Style Transfer (SP)
|
100% |
167454
215.3 IPS |
|
|
Style Transfer (HP)
|
100% |
571203
734.3 IPS |
|
|
Style Transfer (Q)
|
98% |
146393
188.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32744
1.21 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62327
2.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25176
932.2 IPS |
|
|
Text Classification (SP)
|
100% |
3618
4.83 KIPS |
|
|
Text Classification (HP)
|
100% |
4417
5.90 KIPS |
|
|
Text Classification (Q)
|
97% |
2227
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
4300
74.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4739
81.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1875
35.2 IPS |
