Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2132
Single Precision Score
2053
Half Precision Score
5482
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | February 16 2025 07:32 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 135U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (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% |
1218
226.5 IPS |
|
|
Image Classification (HP)
|
100% |
1254
233.2 IPS |
|
|
Image Classification (Q)
|
100% |
3385
629.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1700
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1575
25.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3461
56.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3071
3.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
2794
3.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
10857
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
1252
99.3 IPS |
|
|
Object Detection (HP)
|
100% |
1243
98.6 IPS |
|
|
Object Detection (Q)
|
88% |
3222
258.3 IPS |
|
|
Face Detection (SP)
|
100% |
3604
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
3724
44.3 IPS |
|
|
Face Detection (Q)
|
100% |
7844
93.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3793
29.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3797
29.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
8818
68.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9327
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9168
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
31686
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1775
65.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1608
59.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5925
219.4 IPS |
|
|
Text Classification (SP)
|
100% |
591
789.0 IPS |
|
|
Text Classification (HP)
|
100% |
522
697.1 IPS |
|
|
Text Classification (Q)
|
92% |
2534
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1825
31.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1784
30.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1820
31.4 IPS |
