Microsoft Corporation Surface Pro 2
Geekbench AI Score
456
Single Precision Score
433
Half Precision Score
643
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | BulbousSum |
| Upload Date | December 23 2024 12:31 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-4300U CPU @ 1.90GHz |
| 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% |
282
52.4 IPS |
|
|
Image Classification (HP)
|
100% |
172
32.0 IPS |
|
|
Image Classification (Q)
|
100% |
507
94.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
383
6.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
267
4.33 IPS |
|
|
Image Segmentation (Q)
|
99% |
532
8.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
557
0.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
648
0.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
816
0.96 IPS |
|
|
Object Detection (SP)
|
100% |
143
11.4 IPS |
|
|
Object Detection (HP)
|
100% |
216
17.1 IPS |
|
|
Object Detection (Q)
|
87% |
431
34.6 IPS |
|
|
Face Detection (SP)
|
100% |
690
8.20 IPS |
|
|
Face Detection (HP)
|
100% |
666
7.92 IPS |
|
|
Face Detection (Q)
|
97% |
914
10.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
811
6.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
499
3.85 IPS |
|
|
Depth Estimation (Q)
|
81% |
1001
7.90 IPS |
|
|
Style Transfer (SP)
|
100% |
1477
1.90 IPS |
|
|
Style Transfer (HP)
|
100% |
1625
2.09 IPS |
|
|
Style Transfer (Q)
|
98% |
2824
3.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
281
10.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
358
13.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
423
15.7 IPS |
|
|
Text Classification (SP)
|
100% |
347
463.2 IPS |
|
|
Text Classification (HP)
|
100% |
345
459.9 IPS |
|
|
Text Classification (Q)
|
91% |
291
390.5 IPS |
|
|
Machine Translation (SP)
|
100% |
570
9.82 IPS |
|
|
Machine Translation (HP)
|
100% |
552
9.52 IPS |
|
|
Machine Translation (Q)
|
100% |
406
7.00 IPS |
