Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2212
Single Precision Score
8080
Half Precision Score
12191
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | January 15 2025 12:23 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1305
242.7 IPS |
|
|
Image Classification (HP)
|
100% |
5711
1.06 KIPS |
|
|
Image Classification (Q)
|
100% |
8072
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1822
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2336
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3109
50.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3188
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
29473
34.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
63601
74.5 IPS |
|
|
Object Detection (SP)
|
100% |
1313
104.1 IPS |
|
|
Object Detection (HP)
|
100% |
4896
388.4 IPS |
|
|
Object Detection (Q)
|
87% |
7495
601.5 IPS |
|
|
Face Detection (SP)
|
100% |
3746
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
13141
156.1 IPS |
|
|
Face Detection (Q)
|
100% |
21078
250.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3874
29.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
16710
128.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
31193
242.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9515
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
44331
57.0 IPS |
|
|
Style Transfer (Q)
|
98% |
82255
106.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1775
65.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12126
447.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21420
793.3 IPS |
|
|
Text Classification (SP)
|
100% |
667
890.1 IPS |
|
|
Text Classification (HP)
|
100% |
1881
2.51 KIPS |
|
|
Text Classification (Q)
|
92% |
1881
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1725
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2778
47.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2783
47.9 IPS |
