Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
5177
Single Precision Score
7821
Half Precision Score
11402
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | February 15 2025 05:06 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (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% |
3530
656.4 IPS |
|
|
Image Classification (HP)
|
100% |
5031
935.5 IPS |
|
|
Image Classification (Q)
|
100% |
6067
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3783
61.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7685
124.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10037
162.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11287
13.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
10136
11.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
32653
38.2 IPS |
|
|
Object Detection (SP)
|
100% |
2833
224.7 IPS |
|
|
Object Detection (HP)
|
100% |
4686
371.7 IPS |
|
|
Object Detection (Q)
|
88% |
6973
558.8 IPS |
|
|
Face Detection (SP)
|
100% |
7194
85.5 IPS |
|
|
Face Detection (HP)
|
100% |
14530
172.7 IPS |
|
|
Face Detection (Q)
|
100% |
21210
252.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11177
86.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
19034
147.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
22167
172.3 IPS |
|
|
Style Transfer (SP)
|
100% |
28330
36.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37027
47.6 IPS |
|
|
Style Transfer (Q)
|
98% |
77737
100.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4842
178.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8537
315.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12717
470.9 IPS |
|
|
Text Classification (SP)
|
71% |
1532
2.22 KIPS |
|
|
Text Classification (HP)
|
71% |
2040
2.95 KIPS |
|
|
Text Classification (Q)
|
92% |
2187
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1919
33.0 IPS |
|
|
Machine Translation (HP)
|
96% |
2617
45.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2636
45.4 IPS |
