Micro-Star International Co., Ltd. MS-7E02
Geekbench AI Score
18190
Single Precision Score
32171
Half Precision Score
14156
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 09 2025 07:48 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| 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 (MS-7E02) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| 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% |
7842
1.46 KIPS |
|
|
Image Classification (HP)
|
100% |
13937
2.59 KIPS |
|
|
Image Classification (Q)
|
99% |
6988
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11512
186.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15783
255.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
10670
173.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
90445
105.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
287812
335.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
77117
90.3 IPS |
|
|
Object Detection (SP)
|
100% |
9812
778.3 IPS |
|
|
Object Detection (HP)
|
100% |
15287
1.21 KIPS |
|
|
Object Detection (Q)
|
83% |
8489
685.9 IPS |
|
|
Face Detection (SP)
|
100% |
22537
267.8 IPS |
|
|
Face Detection (HP)
|
100% |
34262
407.1 IPS |
|
|
Face Detection (Q)
|
97% |
19812
236.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
45463
350.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
94110
725.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
36492
291.8 IPS |
|
|
Style Transfer (SP)
|
100% |
144139
185.3 IPS |
|
|
Style Transfer (HP)
|
100% |
475570
611.4 IPS |
|
|
Style Transfer (Q)
|
98% |
124124
160.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26943
994.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51235
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20732
767.7 IPS |
|
|
Text Classification (SP)
|
100% |
3458
4.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4176
5.57 KIPS |
|
|
Text Classification (Q)
|
97% |
2116
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3598
62.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3741
64.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1682
31.5 IPS |
