iPhone SE (2nd generation)
Geekbench AI Score
873
Single Precision Score
1047
Half Precision Score
633
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | chaseps |
| Upload Date | September 05 2024 09:02 AM |
| 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% |
304
56.4 IPS |
|
|
Image Classification (HP)
|
100% |
364
67.8 IPS |
|
|
Image Classification (Q)
|
99% |
369
68.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
323
5.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
353
5.72 IPS |
|
|
Image Segmentation (Q)
|
100% |
351
5.69 IPS |
|
|
Pose Estimation (SP)
|
100% |
2377
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3146
3.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
1180
1.38 IPS |
|
|
Object Detection (SP)
|
100% |
642
50.9 IPS |
|
|
Object Detection (HP)
|
100% |
634
50.3 IPS |
|
|
Object Detection (Q)
|
94% |
295
23.6 IPS |
|
|
Face Detection (SP)
|
100% |
2580
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
3401
40.4 IPS |
|
|
Face Detection (Q)
|
100% |
348
4.13 IPS |
|
|
Depth Estimation (SP)
|
100% |
2484
19.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3138
24.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
3059
23.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4711
6.06 IPS |
|
|
Style Transfer (HP)
|
100% |
5211
6.70 IPS |
|
|
Style Transfer (Q)
|
100% |
5684
7.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
928
34.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1286
47.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
437
16.2 IPS |
|
|
Text Classification (SP)
|
100% |
225
300.2 IPS |
|
|
Text Classification (HP)
|
100% |
361
481.5 IPS |
|
|
Text Classification (Q)
|
93% |
360
483.4 IPS |
|
|
Machine Translation (SP)
|
100% |
275
4.75 IPS |
|
|
Machine Translation (HP)
|
100% |
241
4.15 IPS |
|
|
Machine Translation (Q)
|
98% |
244
4.21 IPS |
