Microsoft Corporation Surface Pro 3
Geekbench AI Score
582
Single Precision Score
579
Half Precision Score
610
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | noderaser |
| Upload Date | January 18 2025 07:46 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-4300U CPU @ 1.90GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Microsoft Corporation Surface Pro 3 |
| Motherboard | Microsoft Corporation Surface Pro 3 |
| 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 | 2.49 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
327
60.8 IPS |
|
|
Image Classification (HP)
|
100% |
328
61.0 IPS |
|
|
Image Classification (Q)
|
100% |
372
69.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
372
6.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
372
6.03 IPS |
|
|
Image Segmentation (Q)
|
99% |
425
6.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
654
0.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
648
0.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
781
0.92 IPS |
|
|
Object Detection (SP)
|
100% |
317
25.1 IPS |
|
|
Object Detection (HP)
|
100% |
311
24.7 IPS |
|
|
Object Detection (Q)
|
87% |
319
25.6 IPS |
|
|
Face Detection (SP)
|
100% |
854
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
864
10.3 IPS |
|
|
Face Detection (Q)
|
97% |
1035
12.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
865
6.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
865
6.67 IPS |
|
|
Depth Estimation (Q)
|
81% |
969
7.65 IPS |
|
|
Style Transfer (SP)
|
100% |
1996
2.57 IPS |
|
|
Style Transfer (HP)
|
100% |
1995
2.56 IPS |
|
|
Style Transfer (Q)
|
98% |
2239
2.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
404
14.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
401
14.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
468
17.3 IPS |
|
|
Text Classification (SP)
|
100% |
453
605.0 IPS |
|
|
Text Classification (HP)
|
100% |
445
593.9 IPS |
|
|
Text Classification (Q)
|
91% |
263
353.1 IPS |
|
|
Machine Translation (SP)
|
100% |
658
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
658
11.3 IPS |
|
|
Machine Translation (Q)
|
100% |
666
11.5 IPS |
