MSI MS-7581
Geekbench AI Score
296
Single Precision Score
202
Half Precision Score
419
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | vladuna |
| Upload Date | February 21 2025 01:06 PM |
| Views | 3 |
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% |
176
32.7 IPS |
|
|
Image Classification (HP)
|
100% |
88
16.4 IPS |
|
|
Image Classification (Q)
|
96% |
336
62.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
180
2.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
133
2.15 IPS |
|
|
Image Segmentation (Q)
|
97% |
283
4.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
362
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
353
0.41 IPS |
|
|
Pose Estimation (Q)
|
86% |
654
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
177
14.0 IPS |
|
|
Object Detection (HP)
|
100% |
103
8.15 IPS |
|
|
Object Detection (Q)
|
58% |
219
23.9 IPS |
|
|
Face Detection (SP)
|
100% |
443
5.26 IPS |
|
|
Face Detection (HP)
|
100% |
251
2.98 IPS |
|
|
Face Detection (Q)
|
96% |
655
7.81 IPS |
|
|
Depth Estimation (SP)
|
100% |
491
3.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
309
2.38 IPS |
|
|
Depth Estimation (Q)
|
78% |
741
5.90 IPS |
|
|
Style Transfer (SP)
|
100% |
963
1.24 IPS |
|
|
Style Transfer (HP)
|
100% |
953
1.23 IPS |
|
|
Style Transfer (Q)
|
87% |
1304
1.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
197
7.27 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
206
7.61 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
333
12.3 IPS |
|
|
Text Classification (SP)
|
100% |
235
313.5 IPS |
|
|
Text Classification (HP)
|
100% |
126
167.9 IPS |
|
|
Text Classification (Q)
|
97% |
152
203.1 IPS |
|
|
Machine Translation (SP)
|
100% |
265
4.56 IPS |
|
|
Machine Translation (HP)
|
100% |
139
2.40 IPS |
|
|
Machine Translation (Q)
|
68% |
388
7.51 IPS |
