Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2207
Single Precision Score
2180
Half Precision Score
5656
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 04 2024 08:39 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 (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% |
1099
204.5 IPS |
|
|
Image Classification (HP)
|
100% |
1205
224.1 IPS |
|
|
Image Classification (Q)
|
100% |
3613
671.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1810
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1811
29.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3550
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3439
4.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
3178
3.71 IPS |
|
|
Pose Estimation (Q)
|
96% |
11546
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1327
105.3 IPS |
|
|
Object Detection (HP)
|
100% |
1307
103.6 IPS |
|
|
Object Detection (Q)
|
88% |
3477
278.8 IPS |
|
|
Face Detection (SP)
|
100% |
3814
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
3821
45.4 IPS |
|
|
Face Detection (Q)
|
100% |
7839
93.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3975
30.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3983
30.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
9650
75.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9863
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8993
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
33901
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1819
67.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1738
64.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5995
222.0 IPS |
|
|
Text Classification (SP)
|
100% |
592
790.7 IPS |
|
|
Text Classification (HP)
|
100% |
603
804.4 IPS |
|
|
Text Classification (Q)
|
92% |
2476
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1882
32.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1873
32.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1711
29.5 IPS |
