Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
1929
Single Precision Score
2815
Half Precision Score
1621
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | damian5466 |
| Upload Date | January 17 2026 01:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| 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 Core Ultra 7 165U |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
684
127.2 IPS |
|
|
Image Classification (HP)
|
100% |
1427
265.4 IPS |
|
|
Image Classification (Q)
|
100% |
580
107.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
990
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2370
38.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1545
25.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8077
9.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
12806
14.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
7004
8.21 IPS |
|
|
Object Detection (SP)
|
100% |
798
63.3 IPS |
|
|
Object Detection (HP)
|
99% |
1604
127.6 IPS |
|
|
Object Detection (Q)
|
86% |
673
54.1 IPS |
|
|
Face Detection (SP)
|
100% |
2212
26.3 IPS |
|
|
Face Detection (HP)
|
100% |
2650
31.5 IPS |
|
|
Face Detection (Q)
|
97% |
2184
26.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5717
44.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
7353
56.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
4590
36.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23712
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34138
43.9 IPS |
|
|
Style Transfer (Q)
|
98% |
17941
23.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1976
72.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2915
107.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1417
52.5 IPS |
|
|
Text Classification (SP)
|
86% |
318
429.9 IPS |
|
|
Text Classification (HP)
|
99% |
254
339.5 IPS |
|
|
Text Classification (Q)
|
84% |
221
300.4 IPS |
|
|
Machine Translation (SP)
|
100% |
871
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
914
15.8 IPS |
|
|
Machine Translation (Q)
|
70% |
528
9.90 IPS |
