Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2272
Single Precision Score
8097
Half Precision Score
12194
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 02 2024 03:24 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% |
1307
243.0 IPS |
|
|
Image Classification (HP)
|
100% |
5857
1.09 KIPS |
|
|
Image Classification (Q)
|
100% |
7906
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1827
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2321
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3116
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3471
4.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
29440
34.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
63449
74.3 IPS |
|
|
Object Detection (SP)
|
100% |
1348
106.9 IPS |
|
|
Object Detection (HP)
|
100% |
4929
390.9 IPS |
|
|
Object Detection (Q)
|
87% |
7815
627.2 IPS |
|
|
Face Detection (SP)
|
100% |
3917
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
12932
153.7 IPS |
|
|
Face Detection (Q)
|
100% |
20835
247.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4044
31.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
16741
129.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
31043
241.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10023
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
45527
58.5 IPS |
|
|
Style Transfer (Q)
|
98% |
81733
105.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1855
68.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12211
450.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21541
797.7 IPS |
|
|
Text Classification (SP)
|
100% |
650
867.3 IPS |
|
|
Text Classification (HP)
|
100% |
1887
2.52 KIPS |
|
|
Text Classification (Q)
|
92% |
1909
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1719
29.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2707
46.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2738
47.2 IPS |
