MSI MS-7581
Geekbench AI Score
285
Single Precision Score
198
Half Precision Score
409
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | vladuna |
| Upload Date | March 08 2025 11:32 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-860 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | MSI MS-7581 |
| Motherboard | MSI P55-GD80 (MS-7581) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-860 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 30 Stepping 5 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Type | SDRAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
206
38.3 IPS |
|
|
Image Classification (HP)
|
100% |
85
15.8 IPS |
|
|
Image Classification (Q)
|
96% |
341
63.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
174
2.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
130
2.12 IPS |
|
|
Image Segmentation (Q)
|
97% |
269
4.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
346
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
352
0.41 IPS |
|
|
Pose Estimation (Q)
|
86% |
625
0.74 IPS |
|
|
Object Detection (SP)
|
100% |
171
13.6 IPS |
|
|
Object Detection (HP)
|
100% |
101
7.98 IPS |
|
|
Object Detection (Q)
|
58% |
236
25.8 IPS |
|
|
Face Detection (SP)
|
100% |
435
5.16 IPS |
|
|
Face Detection (HP)
|
100% |
245
2.92 IPS |
|
|
Face Detection (Q)
|
96% |
640
7.63 IPS |
|
|
Depth Estimation (SP)
|
100% |
466
3.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
290
2.23 IPS |
|
|
Depth Estimation (Q)
|
78% |
768
6.12 IPS |
|
|
Style Transfer (SP)
|
100% |
928
1.19 IPS |
|
|
Style Transfer (HP)
|
100% |
966
1.24 IPS |
|
|
Style Transfer (Q)
|
87% |
1297
1.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
193
7.12 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
207
7.63 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
318
11.8 IPS |
|
|
Text Classification (SP)
|
100% |
178
237.1 IPS |
|
|
Text Classification (HP)
|
100% |
124
165.5 IPS |
|
|
Text Classification (Q)
|
97% |
127
169.9 IPS |
|
|
Machine Translation (SP)
|
100% |
263
4.53 IPS |
|
|
Machine Translation (HP)
|
100% |
136
2.35 IPS |
|
|
Machine Translation (Q)
|
66% |
381
7.54 IPS |
