Micro-Star International Co., Ltd. MS-7E01
Geekbench AI Score
6580
Single Precision Score
6649
Half Precision Score
4804
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 05 2025 07:00 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1060 6GB |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E01 |
| Motherboard | Micro-Star International Co., Ltd. MAG B760M MORTAR MAX WIFI (MS-7E01) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1462
271.9 IPS |
|
|
Image Classification (HP)
|
100% |
2779
516.8 IPS |
|
|
Image Classification (Q)
|
99% |
1307
243.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4161
67.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3872
62.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3420
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
41814
48.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
22430
26.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
33181
38.9 IPS |
|
|
Object Detection (SP)
|
100% |
2096
166.3 IPS |
|
|
Object Detection (HP)
|
100% |
3432
272.2 IPS |
|
|
Object Detection (Q)
|
83% |
1850
149.5 IPS |
|
|
Face Detection (SP)
|
100% |
4116
48.9 IPS |
|
|
Face Detection (HP)
|
100% |
6356
75.5 IPS |
|
|
Face Detection (Q)
|
97% |
3651
43.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13407
103.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12343
95.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
10515
83.9 IPS |
|
|
Style Transfer (SP)
|
100% |
67831
87.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41250
53.0 IPS |
|
|
Style Transfer (Q)
|
98% |
51344
66.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12909
476.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9453
349.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8136
301.3 IPS |
|
|
Text Classification (SP)
|
100% |
1806
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
2117
2.83 KIPS |
|
|
Text Classification (Q)
|
97% |
1051
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3275
56.4 IPS |
|
|
Machine Translation (HP)
|
96% |
3149
54.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1417
26.6 IPS |
