Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2275
Single Precision Score
8033
Half Precision Score
12040
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 25 2024 04:00 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% |
1307
243.0 IPS |
|
|
Image Classification (HP)
|
100% |
5747
1.07 KIPS |
|
|
Image Classification (Q)
|
100% |
7903
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1818
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2199
35.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2844
46.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3449
4.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
29472
34.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
63238
74.1 IPS |
|
|
Object Detection (SP)
|
100% |
1305
103.5 IPS |
|
|
Object Detection (HP)
|
100% |
4892
388.0 IPS |
|
|
Object Detection (Q)
|
87% |
7625
612.0 IPS |
|
|
Face Detection (SP)
|
100% |
3908
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
13028
154.8 IPS |
|
|
Face Detection (Q)
|
100% |
21050
250.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4037
31.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
16752
129.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
30792
239.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9670
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
45418
58.4 IPS |
|
|
Style Transfer (Q)
|
98% |
81344
104.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1881
69.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12020
443.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21559
798.4 IPS |
|
|
Text Classification (SP)
|
100% |
611
816.2 IPS |
|
|
Text Classification (HP)
|
100% |
1874
2.50 KIPS |
|
|
Text Classification (Q)
|
92% |
1855
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1988
34.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2751
47.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2802
48.3 IPS |
