iPhone SE (2nd generation)
Geekbench AI Score
880
Single Precision Score
1063
Half Precision Score
633
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | frank_m_h_jaeger |
| Upload Date | August 18 2024 04:03 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPhone SE (2nd generation) |
| Model ID | iPhone12,8 |
| Motherboard | D79AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 2.89 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
301
56.1 IPS |
|
|
Image Classification (HP)
|
100% |
356
66.2 IPS |
|
|
Image Classification (Q)
|
99% |
351
65.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
310
5.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
339
5.50 IPS |
|
|
Image Segmentation (Q)
|
100% |
345
5.59 IPS |
|
|
Pose Estimation (SP)
|
100% |
2365
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3131
3.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
1191
1.40 IPS |
|
|
Object Detection (SP)
|
100% |
624
49.5 IPS |
|
|
Object Detection (HP)
|
100% |
644
51.1 IPS |
|
|
Object Detection (Q)
|
94% |
292
23.3 IPS |
|
|
Face Detection (SP)
|
100% |
2523
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
3306
39.3 IPS |
|
|
Face Detection (Q)
|
100% |
340
4.04 IPS |
|
|
Depth Estimation (SP)
|
100% |
2403
18.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3026
23.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
2901
22.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5139
6.61 IPS |
|
|
Style Transfer (HP)
|
100% |
6515
8.38 IPS |
|
|
Style Transfer (Q)
|
100% |
6447
8.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1012
37.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1325
48.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
440
16.3 IPS |
|
|
Text Classification (SP)
|
100% |
234
312.6 IPS |
|
|
Text Classification (HP)
|
100% |
370
493.4 IPS |
|
|
Text Classification (Q)
|
93% |
366
491.2 IPS |
|
|
Machine Translation (SP)
|
100% |
277
4.77 IPS |
|
|
Machine Translation (HP)
|
100% |
239
4.11 IPS |
|
|
Machine Translation (Q)
|
98% |
241
4.16 IPS |
