Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2175
Single Precision Score
2215
Half Precision Score
5481
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 01 2024 02:14 AM |
| 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 (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% |
1204
223.9 IPS |
|
|
Image Classification (HP)
|
100% |
1249
232.2 IPS |
|
|
Image Classification (Q)
|
100% |
3157
587.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1756
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1784
28.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3156
51.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3445
4.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
3407
3.97 IPS |
|
|
Pose Estimation (Q)
|
96% |
12171
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1098
87.1 IPS |
|
|
Object Detection (HP)
|
100% |
1335
105.9 IPS |
|
|
Object Detection (Q)
|
88% |
3563
285.6 IPS |
|
|
Face Detection (SP)
|
100% |
3838
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
3879
46.1 IPS |
|
|
Face Detection (Q)
|
100% |
6180
73.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3997
30.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4036
31.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
9944
77.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9955
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9846
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
33764
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1854
68.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1768
65.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6209
229.9 IPS |
|
|
Text Classification (SP)
|
100% |
616
822.1 IPS |
|
|
Text Classification (HP)
|
100% |
645
860.8 IPS |
|
|
Text Classification (Q)
|
92% |
2758
3.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1704
29.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1599
27.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1594
27.5 IPS |
