Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2225
Single Precision Score
2255
Half Precision Score
5825
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 28 2024 12:33 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% |
1280
238.0 IPS |
|
|
Image Classification (HP)
|
100% |
1280
238.1 IPS |
|
|
Image Classification (Q)
|
100% |
3702
688.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1821
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1836
29.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3571
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3253
3.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
3337
3.89 IPS |
|
|
Pose Estimation (Q)
|
96% |
11549
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1331
105.6 IPS |
|
|
Object Detection (HP)
|
100% |
1350
107.1 IPS |
|
|
Object Detection (Q)
|
88% |
3806
305.1 IPS |
|
|
Face Detection (SP)
|
100% |
3925
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
3936
46.8 IPS |
|
|
Face Detection (Q)
|
100% |
8205
97.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3675
28.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4097
31.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
10016
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10101
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9998
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
34208
44.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1785
65.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1870
69.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6329
234.4 IPS |
|
|
Text Classification (SP)
|
100% |
660
881.3 IPS |
|
|
Text Classification (HP)
|
100% |
657
877.3 IPS |
|
|
Text Classification (Q)
|
92% |
2647
3.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1724
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1627
28.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1644
28.3 IPS |
