Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2097
Single Precision Score
8009
Half Precision Score
11952
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 26 2024 07:18 PM |
| Views | 2 |
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% |
1269
236.0 IPS |
|
|
Image Classification (HP)
|
100% |
5781
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
7583
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1735
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2370
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3146
51.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3362
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
29510
34.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
63685
74.6 IPS |
|
|
Object Detection (SP)
|
100% |
1278
101.4 IPS |
|
|
Object Detection (HP)
|
100% |
4945
392.2 IPS |
|
|
Object Detection (Q)
|
87% |
7618
611.4 IPS |
|
|
Face Detection (SP)
|
100% |
3589
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
12735
151.3 IPS |
|
|
Face Detection (Q)
|
100% |
20256
240.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3884
29.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
16530
127.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
30254
235.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8880
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
44638
57.4 IPS |
|
|
Style Transfer (Q)
|
98% |
81367
104.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1580
58.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12015
443.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21190
784.8 IPS |
|
|
Text Classification (SP)
|
100% |
530
707.1 IPS |
|
|
Text Classification (HP)
|
100% |
1820
2.43 KIPS |
|
|
Text Classification (Q)
|
92% |
1823
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1678
28.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2644
45.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2669
46.0 IPS |
