Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
1746
Single Precision Score
7617
Half Precision Score
11344
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 27 2024 01:11 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
887
165.0 IPS |
|
|
Image Classification (HP)
|
100% |
4893
910.0 IPS |
|
|
Image Classification (Q)
|
100% |
7739
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1765
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2288
37.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3062
49.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3158
3.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
29501
34.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
63967
74.9 IPS |
|
|
Object Detection (SP)
|
100% |
1285
101.9 IPS |
|
|
Object Detection (HP)
|
100% |
4839
383.9 IPS |
|
|
Object Detection (Q)
|
87% |
7547
605.7 IPS |
|
|
Face Detection (SP)
|
100% |
3472
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
12558
149.2 IPS |
|
|
Face Detection (Q)
|
100% |
20111
239.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3762
29.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
16663
128.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
30584
238.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7562
9.72 IPS |
|
|
Style Transfer (HP)
|
100% |
43464
55.9 IPS |
|
|
Style Transfer (Q)
|
98% |
74767
96.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1325
48.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11654
430.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17912
663.4 IPS |
|
|
Text Classification (SP)
|
100% |
335
447.5 IPS |
|
|
Text Classification (HP)
|
100% |
1628
2.17 KIPS |
|
|
Text Classification (Q)
|
92% |
1528
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
948
16.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2385
41.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2453
42.3 IPS |
