Microsoft Corporation Surface Pro 9
Geekbench AI Score
1922
Single Precision Score
875
Half Precision Score
2830
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 26 2024 07:32 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
1185
220.4 IPS |
|
|
Image Classification (HP)
|
100% |
363
67.5 IPS |
|
|
Image Classification (Q)
|
99% |
2006
374.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
815
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
609
9.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
2048
33.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3386
3.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
2143
2.50 IPS |
|
|
Pose Estimation (Q)
|
95% |
10223
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
1304
103.5 IPS |
|
|
Object Detection (HP)
|
100% |
412
32.7 IPS |
|
|
Object Detection (Q)
|
88% |
1166
93.4 IPS |
|
|
Face Detection (SP)
|
100% |
2148
25.5 IPS |
|
|
Face Detection (HP)
|
100% |
967
11.5 IPS |
|
|
Face Detection (Q)
|
97% |
2829
33.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4054
31.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1178
9.07 IPS |
|
|
Depth Estimation (Q)
|
77% |
5015
40.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8394
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
5337
6.86 IPS |
|
|
Style Transfer (Q)
|
98% |
12406
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1598
59.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1074
39.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2444
90.5 IPS |
|
|
Text Classification (SP)
|
100% |
1192
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
479
639.4 IPS |
|
|
Text Classification (Q)
|
97% |
1200
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1163
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
434
7.47 IPS |
|
|
Machine Translation (Q)
|
60% |
1304
29.1 IPS |
