Micro-Star International Co., Ltd. MS-7E30
Geekbench AI Score
22458
Single Precision Score
41083
Half Precision Score
17545
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 08 2025 06:35 AM |
| Views | 6 |
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 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% |
9666
1.80 KIPS |
|
|
Image Classification (HP)
|
100% |
17172
3.19 KIPS |
|
|
Image Classification (Q)
|
100% |
8866
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14392
233.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
20158
326.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
13619
221.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
121693
142.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
381615
445.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
113719
133.2 IPS |
|
|
Object Detection (SP)
|
100% |
11772
933.7 IPS |
|
|
Object Detection (HP)
|
100% |
20670
1.64 KIPS |
|
|
Object Detection (Q)
|
83% |
10166
821.3 IPS |
|
|
Face Detection (SP)
|
100% |
28488
338.5 IPS |
|
|
Face Detection (HP)
|
100% |
45766
543.8 IPS |
|
|
Face Detection (Q)
|
97% |
24786
295.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
55259
425.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
114688
883.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
44388
354.3 IPS |
|
|
Style Transfer (SP)
|
100% |
170428
219.1 IPS |
|
|
Style Transfer (HP)
|
100% |
593580
763.1 IPS |
|
|
Style Transfer (Q)
|
98% |
149704
193.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34780
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
67597
2.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26623
985.8 IPS |
|
|
Text Classification (SP)
|
100% |
3982
5.31 KIPS |
|
|
Text Classification (HP)
|
100% |
4987
6.66 KIPS |
|
|
Text Classification (Q)
|
97% |
2407
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4408
75.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4777
82.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1877
35.2 IPS |
