Microsoft Corporation Surface Pro 9
Geekbench AI Score
2044
Single Precision Score
2071
Half Precision Score
4165
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 26 2024 01:18 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i7-1255U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Microsoft Corporation Surface Pro 9 |
| Motherboard | Microsoft Corporation Surface Pro 9 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1255U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
953
177.2 IPS |
|
|
Image Classification (HP)
|
100% |
1076
200.1 IPS |
|
|
Image Classification (Q)
|
100% |
2156
401.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1683
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1664
27.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2761
44.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3103
3.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
2960
3.45 IPS |
|
|
Pose Estimation (Q)
|
96% |
8960
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
1282
101.7 IPS |
|
|
Object Detection (HP)
|
100% |
1268
100.6 IPS |
|
|
Object Detection (Q)
|
88% |
2294
183.9 IPS |
|
|
Face Detection (SP)
|
100% |
3537
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
3554
42.2 IPS |
|
|
Face Detection (Q)
|
100% |
6401
76.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3754
28.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3586
27.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
6949
54.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9174
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9278
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
24803
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1537
56.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1693
62.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3866
143.2 IPS |
|
|
Text Classification (SP)
|
100% |
602
803.9 IPS |
|
|
Text Classification (HP)
|
100% |
608
811.8 IPS |
|
|
Text Classification (Q)
|
92% |
1708
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1771
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1775
30.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1766
30.4 IPS |
