Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
4834
Single Precision Score
7617
Half Precision Score
11132
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 03 2024 05:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3465
644.4 IPS |
|
|
Image Classification (HP)
|
100% |
4964
923.2 IPS |
|
|
Image Classification (Q)
|
100% |
5946
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3250
52.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7094
115.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9465
153.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10229
11.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
9664
11.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
30458
35.7 IPS |
|
|
Object Detection (SP)
|
100% |
3056
242.4 IPS |
|
|
Object Detection (HP)
|
100% |
4909
389.3 IPS |
|
|
Object Detection (Q)
|
88% |
7245
580.6 IPS |
|
|
Face Detection (SP)
|
100% |
6707
79.7 IPS |
|
|
Face Detection (HP)
|
100% |
14134
167.9 IPS |
|
|
Face Detection (Q)
|
100% |
20294
241.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9753
75.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
18913
146.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
21485
167.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26346
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35720
45.9 IPS |
|
|
Style Transfer (Q)
|
98% |
75571
97.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4547
167.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8211
303.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12999
481.4 IPS |
|
|
Text Classification (SP)
|
71% |
1342
1.94 KIPS |
|
|
Text Classification (HP)
|
71% |
1916
2.77 KIPS |
|
|
Text Classification (Q)
|
92% |
2070
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1883
32.4 IPS |
|
|
Machine Translation (HP)
|
96% |
2622
45.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2655
45.7 IPS |
