Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
1913
Single Precision Score
880
Half Precision Score
3090
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | February 14 2025 09:50 AM |
| Views | 4 |
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% |
1244
231.4 IPS |
|
|
Image Classification (HP)
|
100% |
387
72.0 IPS |
|
|
Image Classification (Q)
|
99% |
2377
443.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
742
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
739
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2427
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3393
3.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
2199
2.57 IPS |
|
|
Pose Estimation (Q)
|
95% |
12981
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1369
108.6 IPS |
|
|
Object Detection (HP)
|
100% |
364
28.9 IPS |
|
|
Object Detection (Q)
|
88% |
1282
102.8 IPS |
|
|
Face Detection (SP)
|
100% |
2281
27.1 IPS |
|
|
Face Detection (HP)
|
100% |
997
11.8 IPS |
|
|
Face Detection (Q)
|
97% |
2609
31.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4018
31.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1047
8.07 IPS |
|
|
Depth Estimation (Q)
|
77% |
4168
33.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7933
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
4750
6.11 IPS |
|
|
Style Transfer (Q)
|
98% |
12818
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1563
57.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1121
41.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2664
98.7 IPS |
|
|
Text Classification (SP)
|
100% |
1222
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
523
698.6 IPS |
|
|
Text Classification (Q)
|
97% |
1388
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1104
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
421
7.24 IPS |
|
|
Machine Translation (Q)
|
60% |
1606
35.8 IPS |
