Microsoft Corporation Surface Pro 9
Geekbench AI Score
4228
Single Precision Score
5497
Half Precision Score
8398
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 25 2024 04:20 PM |
| Views | 2 |
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% |
2499
464.7 IPS |
|
|
Image Classification (HP)
|
100% |
3414
634.9 IPS |
|
|
Image Classification (Q)
|
99% |
4993
931.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3803
61.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6006
97.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8597
139.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9593
11.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
7008
8.18 IPS |
|
|
Pose Estimation (Q)
|
97% |
28990
33.9 IPS |
|
|
Object Detection (SP)
|
100% |
2464
195.4 IPS |
|
|
Object Detection (HP)
|
100% |
3337
264.7 IPS |
|
|
Object Detection (Q)
|
90% |
4725
377.8 IPS |
|
|
Face Detection (SP)
|
100% |
6696
79.6 IPS |
|
|
Face Detection (HP)
|
100% |
10135
120.4 IPS |
|
|
Face Detection (Q)
|
100% |
14568
173.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9021
69.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13948
107.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
17488
136.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24572
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34496
44.3 IPS |
|
|
Style Transfer (Q)
|
98% |
64425
83.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3838
141.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5859
216.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9900
366.6 IPS |
|
|
Text Classification (SP)
|
71% |
1187
1.72 KIPS |
|
|
Text Classification (HP)
|
71% |
1259
1.82 KIPS |
|
|
Text Classification (Q)
|
92% |
1277
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1204
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1461
25.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1431
24.7 IPS |
