Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2036
Single Precision Score
918
Half Precision Score
3232
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 25 2024 03:37 PM |
| Views | 2 |
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% |
1160
215.8 IPS |
|
|
Image Classification (HP)
|
100% |
382
71.0 IPS |
|
|
Image Classification (Q)
|
99% |
2423
451.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
928
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
752
12.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2609
42.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3656
4.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
2122
2.48 IPS |
|
|
Pose Estimation (Q)
|
95% |
12585
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1332
105.7 IPS |
|
|
Object Detection (HP)
|
100% |
374
29.7 IPS |
|
|
Object Detection (Q)
|
88% |
1278
102.5 IPS |
|
|
Face Detection (SP)
|
100% |
2386
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
1039
12.3 IPS |
|
|
Face Detection (Q)
|
97% |
2616
31.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4203
32.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1413
10.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
5482
43.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8577
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
5539
7.12 IPS |
|
|
Style Transfer (Q)
|
98% |
14004
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1665
61.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
998
36.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2761
102.3 IPS |
|
|
Text Classification (SP)
|
100% |
1310
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
495
661.3 IPS |
|
|
Text Classification (Q)
|
97% |
1447
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1250
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
465
8.00 IPS |
|
|
Machine Translation (Q)
|
60% |
1529
34.1 IPS |
