Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2194
Single Precision Score
7900
Half Precision Score
11972
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 13 2024 07:12 PM |
| Views | 2 |
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% |
1295
240.9 IPS |
|
|
Image Classification (HP)
|
100% |
5911
1.10 KIPS |
|
|
Image Classification (Q)
|
100% |
8047
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1815
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2296
37.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3131
50.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3362
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
29376
34.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
63320
74.2 IPS |
|
|
Object Detection (SP)
|
100% |
1337
106.1 IPS |
|
|
Object Detection (HP)
|
100% |
4893
388.1 IPS |
|
|
Object Detection (Q)
|
87% |
7743
621.4 IPS |
|
|
Face Detection (SP)
|
100% |
3850
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
12485
148.3 IPS |
|
|
Face Detection (Q)
|
100% |
20590
244.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3689
28.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
16597
127.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
30723
239.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8727
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
46086
59.2 IPS |
|
|
Style Transfer (Q)
|
98% |
82424
106.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1648
60.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12005
443.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21191
784.8 IPS |
|
|
Text Classification (SP)
|
100% |
657
877.1 IPS |
|
|
Text Classification (HP)
|
100% |
1841
2.46 KIPS |
|
|
Text Classification (Q)
|
92% |
1839
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1826
31.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2301
39.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2411
41.5 IPS |
