Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2306
Single Precision Score
8160
Half Precision Score
12288
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 25 2024 08:37 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% |
1300
241.8 IPS |
|
|
Image Classification (HP)
|
100% |
5770
1.07 KIPS |
|
|
Image Classification (Q)
|
100% |
7984
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1856
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2380
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3141
50.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3323
3.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
29546
34.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
63703
74.6 IPS |
|
|
Object Detection (SP)
|
100% |
1348
107.0 IPS |
|
|
Object Detection (HP)
|
100% |
4935
391.4 IPS |
|
|
Object Detection (Q)
|
87% |
7740
621.2 IPS |
|
|
Face Detection (SP)
|
100% |
3943
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
13301
158.0 IPS |
|
|
Face Detection (Q)
|
100% |
21226
252.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4108
31.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
16839
129.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
30965
240.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10162
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
45969
59.1 IPS |
|
|
Style Transfer (Q)
|
98% |
83545
107.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1874
69.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12173
449.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21646
801.6 IPS |
|
|
Text Classification (SP)
|
100% |
653
871.1 IPS |
|
|
Text Classification (HP)
|
100% |
1876
2.50 KIPS |
|
|
Text Classification (Q)
|
92% |
1905
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1961
33.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2781
47.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2804
48.3 IPS |
