Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2242
Single Precision Score
2236
Half Precision Score
5774
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | February 02 2025 02:31 PM |
| Views | 2 |
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 | Bitsum Highest Performance |
| 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% |
1323
246.0 IPS |
|
|
Image Classification (HP)
|
100% |
1307
243.0 IPS |
|
|
Image Classification (Q)
|
100% |
3746
696.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1839
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1832
29.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3353
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3325
3.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
3062
3.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
12364
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1321
104.8 IPS |
|
|
Object Detection (HP)
|
100% |
1337
106.0 IPS |
|
|
Object Detection (Q)
|
88% |
3708
297.3 IPS |
|
|
Face Detection (SP)
|
100% |
3893
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
3922
46.6 IPS |
|
|
Face Detection (Q)
|
100% |
8151
96.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3931
30.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4058
31.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
9818
76.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9531
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9613
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
33954
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1810
66.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1830
67.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6273
232.3 IPS |
|
|
Text Classification (SP)
|
100% |
590
788.0 IPS |
|
|
Text Classification (HP)
|
100% |
619
826.5 IPS |
|
|
Text Classification (Q)
|
92% |
2504
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1929
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1845
31.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1678
28.9 IPS |
