Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2075
Single Precision Score
958
Half Precision Score
3263
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 26 2024 01:09 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 135U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Pro 10 for Business |
| Motherboard | Microsoft Corporation Surface Pro 10 for Business |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 135U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1239
230.4 IPS |
|
|
Image Classification (HP)
|
100% |
356
66.2 IPS |
|
|
Image Classification (Q)
|
99% |
1489
277.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
834
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
607
9.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
2549
41.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3626
4.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
2336
2.73 IPS |
|
|
Pose Estimation (Q)
|
95% |
13433
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1428
113.3 IPS |
|
|
Object Detection (HP)
|
100% |
470
37.3 IPS |
|
|
Object Detection (Q)
|
88% |
1314
105.3 IPS |
|
|
Face Detection (SP)
|
100% |
2594
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
1178
14.0 IPS |
|
|
Face Detection (Q)
|
97% |
3140
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4241
32.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1346
10.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
5655
45.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8916
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
5617
7.22 IPS |
|
|
Style Transfer (Q)
|
98% |
14604
18.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1705
63.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1120
41.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3038
112.5 IPS |
|
|
Text Classification (SP)
|
100% |
1286
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
546
728.3 IPS |
|
|
Text Classification (Q)
|
97% |
1564
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1292
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
506
8.72 IPS |
|
|
Machine Translation (Q)
|
60% |
1659
37.0 IPS |
