Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2305
Single Precision Score
8062
Half Precision Score
12093
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 25 2024 04:16 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% |
1316
244.7 IPS |
|
|
Image Classification (HP)
|
100% |
5789
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
7969
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1851
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2323
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3080
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3420
3.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
29381
34.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
63118
73.9 IPS |
|
|
Object Detection (SP)
|
100% |
1347
106.9 IPS |
|
|
Object Detection (HP)
|
100% |
4849
384.7 IPS |
|
|
Object Detection (Q)
|
87% |
7645
613.5 IPS |
|
|
Face Detection (SP)
|
100% |
3981
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
12827
152.4 IPS |
|
|
Face Detection (Q)
|
100% |
20994
249.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4067
31.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
16802
129.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
30797
239.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9982
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
45533
58.5 IPS |
|
|
Style Transfer (Q)
|
98% |
81192
104.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1851
68.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12015
443.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21426
793.5 IPS |
|
|
Text Classification (SP)
|
100% |
631
842.6 IPS |
|
|
Text Classification (HP)
|
100% |
1852
2.47 KIPS |
|
|
Text Classification (Q)
|
92% |
1801
2.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2006
34.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2773
47.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2790
48.1 IPS |
