Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2152
Single Precision Score
2172
Half Precision Score
5507
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 02 2024 06:37 PM |
| Views | 3 |
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% |
1258
234.0 IPS |
|
|
Image Classification (HP)
|
100% |
1256
233.5 IPS |
|
|
Image Classification (Q)
|
100% |
3627
674.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1787
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1767
28.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2982
48.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3181
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
3417
3.99 IPS |
|
|
Pose Estimation (Q)
|
96% |
12141
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1134
89.9 IPS |
|
|
Object Detection (HP)
|
100% |
1143
90.6 IPS |
|
|
Object Detection (Q)
|
88% |
3435
275.4 IPS |
|
|
Face Detection (SP)
|
100% |
3701
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
3787
45.0 IPS |
|
|
Face Detection (Q)
|
100% |
6139
72.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3969
30.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3939
30.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
9650
75.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9894
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9941
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
33584
43.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1644
60.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1641
60.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5767
213.6 IPS |
|
|
Text Classification (SP)
|
100% |
574
766.6 IPS |
|
|
Text Classification (HP)
|
100% |
587
783.4 IPS |
|
|
Text Classification (Q)
|
92% |
2557
3.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1920
33.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1894
32.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1939
33.4 IPS |
