Microsoft Corporation Surface Pro 9
Geekbench AI Score
4211
Single Precision Score
5457
Half Precision Score
8369
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 26 2024 03:22 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
2492
463.4 IPS |
|
|
Image Classification (HP)
|
100% |
3442
640.0 IPS |
|
|
Image Classification (Q)
|
99% |
4955
924.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3799
61.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5982
97.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8525
138.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9605
11.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
7006
8.17 IPS |
|
|
Pose Estimation (Q)
|
97% |
29038
34.0 IPS |
|
|
Object Detection (SP)
|
100% |
2466
195.6 IPS |
|
|
Object Detection (HP)
|
100% |
3282
260.4 IPS |
|
|
Object Detection (Q)
|
90% |
4756
380.3 IPS |
|
|
Face Detection (SP)
|
100% |
6699
79.6 IPS |
|
|
Face Detection (HP)
|
100% |
9971
118.5 IPS |
|
|
Face Detection (Q)
|
100% |
14559
173.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8952
69.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13756
106.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
17284
134.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24302
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34826
44.8 IPS |
|
|
Style Transfer (Q)
|
98% |
63692
82.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3860
142.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5813
214.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9854
364.9 IPS |
|
|
Text Classification (SP)
|
71% |
1171
1.69 KIPS |
|
|
Text Classification (HP)
|
71% |
1232
1.78 KIPS |
|
|
Text Classification (Q)
|
92% |
1275
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
1188
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1448
24.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1435
24.7 IPS |
