Microsoft Corporation Surface Pro 3
Geekbench AI Score
433
Single Precision Score
250
Half Precision Score
419
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | noderaser |
| Upload Date | January 18 2025 07:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-4300U |
| 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% |
304
56.5 IPS |
|
|
Image Classification (HP)
|
100% |
118
21.9 IPS |
|
|
Image Classification (Q)
|
96% |
323
60.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
207
3.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
164
2.66 IPS |
|
|
Image Segmentation (Q)
|
97% |
245
3.99 IPS |
|
|
Pose Estimation (SP)
|
100% |
603
0.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
495
0.58 IPS |
|
|
Pose Estimation (Q)
|
86% |
677
0.80 IPS |
|
|
Object Detection (SP)
|
100% |
291
23.1 IPS |
|
|
Object Detection (HP)
|
100% |
139
11.0 IPS |
|
|
Object Detection (Q)
|
58% |
213
23.3 IPS |
|
|
Face Detection (SP)
|
100% |
723
8.59 IPS |
|
|
Face Detection (HP)
|
100% |
312
3.70 IPS |
|
|
Face Detection (Q)
|
96% |
797
9.51 IPS |
|
|
Depth Estimation (SP)
|
100% |
777
5.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
359
2.77 IPS |
|
|
Depth Estimation (Q)
|
78% |
775
6.19 IPS |
|
|
Style Transfer (SP)
|
100% |
1444
1.86 IPS |
|
|
Style Transfer (HP)
|
100% |
1035
1.33 IPS |
|
|
Style Transfer (Q)
|
87% |
1465
1.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
280
10.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
231
8.52 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
289
10.7 IPS |
|
|
Text Classification (SP)
|
100% |
248
330.5 IPS |
|
|
Text Classification (HP)
|
100% |
168
224.3 IPS |
|
|
Text Classification (Q)
|
97% |
145
194.2 IPS |
|
|
Machine Translation (SP)
|
100% |
379
6.52 IPS |
|
|
Machine Translation (HP)
|
100% |
164
2.83 IPS |
|
|
Machine Translation (Q)
|
68% |
386
7.45 IPS |
