iPhone SE (2nd generation)
Geekbench AI Score
833
Single Precision Score
2929
Half Precision Score
1069
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 24 2024 10:26 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
420
78.0 IPS |
|
|
Image Classification (HP)
|
100% |
2406
447.5 IPS |
|
|
Image Classification (Q)
|
99% |
2454
457.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
274
4.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
318
5.16 IPS |
|
|
Image Segmentation (Q)
|
100% |
333
5.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
1749
2.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
22000
25.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
2073
2.43 IPS |
|
|
Object Detection (SP)
|
100% |
418
33.2 IPS |
|
|
Object Detection (HP)
|
100% |
2265
179.7 IPS |
|
|
Object Detection (Q)
|
94% |
204
16.3 IPS |
|
|
Face Detection (SP)
|
100% |
937
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
6118
72.7 IPS |
|
|
Face Detection (Q)
|
100% |
268
3.19 IPS |
|
|
Depth Estimation (SP)
|
100% |
929
7.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
19964
153.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
20110
155.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3525
4.53 IPS |
|
|
Style Transfer (HP)
|
100% |
7750
9.96 IPS |
|
|
Style Transfer (Q)
|
100% |
7730
9.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1548
57.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4086
150.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
439
16.3 IPS |
|
|
Text Classification (SP)
|
100% |
752
1.00 KIPS |
|
|
Text Classification (HP)
|
100% |
429
572.5 IPS |
|
|
Text Classification (Q)
|
93% |
422
566.2 IPS |
|
|
Machine Translation (SP)
|
100% |
541
9.32 IPS |
|
|
Machine Translation (HP)
|
100% |
737
12.7 IPS |
|
|
Machine Translation (Q)
|
98% |
733
12.7 IPS |
