Micro-Star International Co., Ltd. MS-7E02
Geekbench AI Score
20644
Single Precision Score
37015
Half Precision Score
16251
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 23 2025 09:00 AM |
| Views | 5 |
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-7E02 |
| Motherboard | Micro-Star International Co., Ltd. PRO B760M-P DDR4 (MS-7E02) |
| Power Plan | Prestazioni elevate |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7862
1.46 KIPS |
|
|
Image Classification (HP)
|
100% |
14889
2.77 KIPS |
|
|
Image Classification (Q)
|
100% |
7178
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14265
231.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19870
322.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
13094
212.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
118046
137.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
356683
416.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
110133
129.0 IPS |
|
|
Object Detection (SP)
|
100% |
10475
830.9 IPS |
|
|
Object Detection (HP)
|
100% |
17422
1.38 KIPS |
|
|
Object Detection (Q)
|
83% |
8933
721.7 IPS |
|
|
Face Detection (SP)
|
100% |
26521
315.1 IPS |
|
|
Face Detection (HP)
|
100% |
40479
481.0 IPS |
|
|
Face Detection (Q)
|
97% |
23683
282.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
51480
396.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
101905
785.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
41454
330.9 IPS |
|
|
Style Transfer (SP)
|
100% |
164179
211.1 IPS |
|
|
Style Transfer (HP)
|
100% |
544499
700.0 IPS |
|
|
Style Transfer (Q)
|
98% |
144166
185.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30889
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58684
2.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23590
873.5 IPS |
|
|
Text Classification (SP)
|
100% |
3586
4.79 KIPS |
|
|
Text Classification (HP)
|
100% |
4514
6.03 KIPS |
|
|
Text Classification (Q)
|
97% |
2286
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
4083
70.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4415
76.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1821
34.2 IPS |
