Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
1914
Single Precision Score
900
Half Precision Score
2720
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | February 02 2025 02:46 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 135U |
| 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 | Bitsum Highest Performance |
| 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% |
1264
235.1 IPS |
|
|
Image Classification (HP)
|
100% |
364
67.7 IPS |
|
|
Image Classification (Q)
|
99% |
2266
422.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
870
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
697
11.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2474
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3433
4.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
2192
2.56 IPS |
|
|
Pose Estimation (Q)
|
95% |
12928
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1295
102.7 IPS |
|
|
Object Detection (HP)
|
100% |
427
33.9 IPS |
|
|
Object Detection (Q)
|
88% |
1361
109.1 IPS |
|
|
Face Detection (SP)
|
100% |
2492
29.6 IPS |
|
|
Face Detection (HP)
|
100% |
1054
12.5 IPS |
|
|
Face Detection (Q)
|
97% |
2863
34.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4071
31.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1340
10.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
5273
42.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8383
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
5551
7.14 IPS |
|
|
Style Transfer (Q)
|
98% |
13824
17.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1632
60.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1082
40.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2060
76.3 IPS |
|
|
Text Classification (SP)
|
100% |
1246
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
429
573.2 IPS |
|
|
Text Classification (Q)
|
97% |
1002
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
782
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
406
7.00 IPS |
|
|
Machine Translation (Q)
|
60% |
523
11.7 IPS |
