Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2178
Single Precision Score
8114
Half Precision Score
12194
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 28 2024 12:10 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% |
1189
221.0 IPS |
|
|
Image Classification (HP)
|
100% |
5828
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
8053
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1752
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2342
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3114
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3391
3.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
29576
34.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
63821
74.8 IPS |
|
|
Object Detection (SP)
|
100% |
1314
104.2 IPS |
|
|
Object Detection (HP)
|
100% |
4923
390.5 IPS |
|
|
Object Detection (Q)
|
87% |
7631
612.4 IPS |
|
|
Face Detection (SP)
|
100% |
3784
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
13070
155.3 IPS |
|
|
Face Detection (Q)
|
100% |
20833
247.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3742
28.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
16690
128.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
30866
240.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9976
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
45642
58.7 IPS |
|
|
Style Transfer (Q)
|
98% |
82044
105.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1746
64.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12088
446.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21746
805.4 IPS |
|
|
Text Classification (SP)
|
100% |
640
853.9 IPS |
|
|
Text Classification (HP)
|
100% |
1874
2.50 KIPS |
|
|
Text Classification (Q)
|
92% |
1875
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1645
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2761
47.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2768
47.7 IPS |
