Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2257
Single Precision Score
2180
Half Precision Score
5870
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 26 2024 03:16 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
1308
243.3 IPS |
|
|
Image Classification (HP)
|
100% |
1315
244.5 IPS |
|
|
Image Classification (Q)
|
100% |
3792
705.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1736
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1856
30.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3656
59.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3362
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
3197
3.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
11691
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1353
107.3 IPS |
|
|
Object Detection (HP)
|
100% |
1261
100.0 IPS |
|
|
Object Detection (Q)
|
88% |
3711
297.5 IPS |
|
|
Face Detection (SP)
|
100% |
3959
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
3890
46.2 IPS |
|
|
Face Detection (Q)
|
100% |
8205
97.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4080
31.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3834
29.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
9837
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9308
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8398
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
34156
44.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1862
68.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1815
67.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6036
223.5 IPS |
|
|
Text Classification (SP)
|
100% |
599
799.7 IPS |
|
|
Text Classification (HP)
|
100% |
580
773.6 IPS |
|
|
Text Classification (Q)
|
92% |
2499
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1989
34.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1874
32.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1943
33.5 IPS |
