Microsoft Corporation Surface Pro 9
Geekbench AI Score
1880
Single Precision Score
1905
Half Precision Score
4003
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 25 2024 08:38 PM |
| Views | 2 |
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% |
1061
197.4 IPS |
|
|
Image Classification (HP)
|
100% |
1064
197.9 IPS |
|
|
Image Classification (Q)
|
100% |
2194
407.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1438
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1536
24.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2596
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2698
3.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
2722
3.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
8283
9.70 IPS |
|
|
Object Detection (SP)
|
100% |
1112
88.2 IPS |
|
|
Object Detection (HP)
|
100% |
1148
91.1 IPS |
|
|
Object Detection (Q)
|
88% |
2269
181.9 IPS |
|
|
Face Detection (SP)
|
100% |
3325
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
3195
38.0 IPS |
|
|
Face Detection (Q)
|
100% |
6191
73.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3165
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3180
24.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
6376
49.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7948
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8191
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
23055
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1468
54.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1494
55.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3695
136.8 IPS |
|
|
Text Classification (SP)
|
100% |
576
768.5 IPS |
|
|
Text Classification (HP)
|
100% |
587
783.6 IPS |
|
|
Text Classification (Q)
|
92% |
1728
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1707
29.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1696
29.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1700
29.3 IPS |
