Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2290
Single Precision Score
8005
Half Precision Score
12040
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 28 2024 12:29 AM |
| 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% |
1292
240.2 IPS |
|
|
Image Classification (HP)
|
100% |
5571
1.04 KIPS |
|
|
Image Classification (Q)
|
100% |
7770
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1826
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2330
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3089
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3484
4.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
29378
34.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
63120
73.9 IPS |
|
|
Object Detection (SP)
|
100% |
1329
105.4 IPS |
|
|
Object Detection (HP)
|
100% |
4829
383.0 IPS |
|
|
Object Detection (Q)
|
87% |
7627
612.1 IPS |
|
|
Face Detection (SP)
|
100% |
3872
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
12838
152.5 IPS |
|
|
Face Detection (Q)
|
100% |
20660
245.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4040
31.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
16546
127.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
30571
237.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10259
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
45890
59.0 IPS |
|
|
Style Transfer (Q)
|
98% |
81708
105.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1855
68.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12086
446.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21191
784.8 IPS |
|
|
Text Classification (SP)
|
100% |
621
829.3 IPS |
|
|
Text Classification (HP)
|
100% |
1801
2.40 KIPS |
|
|
Text Classification (Q)
|
92% |
1834
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1972
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2767
47.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2764
47.6 IPS |
