Micro-Star International Co., Ltd. MS-7E30
Geekbench AI Score
21890
Single Precision Score
39527
Half Precision Score
17343
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 22 2025 08:40 AM |
| Views | 4 |
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 BOMBER 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% |
9107
1.69 KIPS |
|
|
Image Classification (HP)
|
100% |
15956
2.97 KIPS |
|
|
Image Classification (Q)
|
100% |
8571
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14003
227.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19608
317.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
13314
216.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
123333
143.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
385885
450.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
114442
134.1 IPS |
|
|
Object Detection (SP)
|
100% |
11321
897.9 IPS |
|
|
Object Detection (HP)
|
100% |
19251
1.53 KIPS |
|
|
Object Detection (Q)
|
83% |
9889
798.9 IPS |
|
|
Face Detection (SP)
|
100% |
27634
328.4 IPS |
|
|
Face Detection (HP)
|
100% |
44200
525.2 IPS |
|
|
Face Detection (Q)
|
97% |
24496
292.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
54842
422.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
115948
893.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
44698
356.8 IPS |
|
|
Style Transfer (SP)
|
100% |
173127
222.6 IPS |
|
|
Style Transfer (HP)
|
100% |
589795
758.2 IPS |
|
|
Style Transfer (Q)
|
98% |
149947
193.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33913
1.25 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
63753
2.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26219
970.9 IPS |
|
|
Text Classification (SP)
|
100% |
3661
4.89 KIPS |
|
|
Text Classification (HP)
|
100% |
4439
5.93 KIPS |
|
|
Text Classification (Q)
|
97% |
2313
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
4356
75.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4683
80.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1915
35.9 IPS |
