Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
1996
Single Precision Score
8044
Half Precision Score
12042
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 30 2024 09:02 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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(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% |
1149
213.7 IPS |
|
|
Image Classification (HP)
|
100% |
5628
1.05 KIPS |
|
|
Image Classification (Q)
|
100% |
7681
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1652
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2370
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3159
51.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3148
3.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
29599
34.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
63796
74.7 IPS |
|
|
Object Detection (SP)
|
100% |
1191
94.5 IPS |
|
|
Object Detection (HP)
|
100% |
4900
388.7 IPS |
|
|
Object Detection (Q)
|
87% |
7574
607.9 IPS |
|
|
Face Detection (SP)
|
100% |
3461
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
12860
152.8 IPS |
|
|
Face Detection (Q)
|
100% |
20539
244.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3596
27.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
16886
130.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
30834
239.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8544
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
45615
58.6 IPS |
|
|
Style Transfer (Q)
|
98% |
82088
105.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1616
59.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12141
448.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21254
787.1 IPS |
|
|
Text Classification (SP)
|
100% |
542
722.9 IPS |
|
|
Text Classification (HP)
|
100% |
1763
2.35 KIPS |
|
|
Text Classification (Q)
|
92% |
1792
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1519
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2766
47.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2764
47.6 IPS |
