Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2170
Single Precision Score
2212
Half Precision Score
5684
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 29 2024 08:25 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 135U |
| 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% |
1252
232.7 IPS |
|
|
Image Classification (HP)
|
100% |
1250
232.5 IPS |
|
|
Image Classification (Q)
|
100% |
3543
659.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1813
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1808
29.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3513
57.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3275
3.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
3206
3.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
11797
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1300
103.1 IPS |
|
|
Object Detection (HP)
|
100% |
1301
103.2 IPS |
|
|
Object Detection (Q)
|
88% |
3463
277.6 IPS |
|
|
Face Detection (SP)
|
100% |
3778
44.9 IPS |
|
|
Face Detection (HP)
|
100% |
3826
45.5 IPS |
|
|
Face Detection (Q)
|
100% |
7794
92.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3443
26.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3954
30.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
9562
74.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9548
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9142
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
33497
43.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1739
64.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1803
66.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5893
218.2 IPS |
|
|
Text Classification (SP)
|
100% |
591
788.4 IPS |
|
|
Text Classification (HP)
|
100% |
616
821.6 IPS |
|
|
Text Classification (Q)
|
92% |
2451
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1880
32.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1938
33.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1921
33.1 IPS |
