Microsoft Corporation Surface Pro 2
Geekbench AI Score
606
Single Precision Score
355
Half Precision Score
648
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | BulbousSum |
| Upload Date | December 23 2024 12:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-4300U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Pro 2 |
| Motherboard | Microsoft Corporation Surface Pro 2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4300U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 69 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
493
91.6 IPS |
|
|
Image Classification (HP)
|
100% |
190
35.4 IPS |
|
|
Image Classification (Q)
|
96% |
521
97.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
336
5.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
255
4.13 IPS |
|
|
Image Segmentation (Q)
|
97% |
471
7.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
1000
1.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
796
0.93 IPS |
|
|
Pose Estimation (Q)
|
86% |
1067
1.26 IPS |
|
|
Object Detection (SP)
|
100% |
472
37.5 IPS |
|
|
Object Detection (HP)
|
100% |
219
17.3 IPS |
|
|
Object Detection (Q)
|
58% |
377
41.2 IPS |
|
|
Face Detection (SP)
|
100% |
1109
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
469
5.57 IPS |
|
|
Face Detection (Q)
|
96% |
948
11.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1017
7.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
590
4.55 IPS |
|
|
Depth Estimation (Q)
|
78% |
1233
9.84 IPS |
|
|
Style Transfer (SP)
|
100% |
2320
2.98 IPS |
|
|
Style Transfer (HP)
|
100% |
1878
2.41 IPS |
|
|
Style Transfer (Q)
|
87% |
2459
3.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
485
17.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
239
8.82 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
357
13.2 IPS |
|
|
Text Classification (SP)
|
100% |
171
228.3 IPS |
|
|
Text Classification (HP)
|
100% |
159
212.3 IPS |
|
|
Text Classification (Q)
|
97% |
265
354.7 IPS |
|
|
Machine Translation (SP)
|
100% |
394
6.78 IPS |
|
|
Machine Translation (HP)
|
100% |
191
3.28 IPS |
|
|
Machine Translation (Q)
|
68% |
492
9.52 IPS |
