iPhone SE (2nd generation)
Geekbench AI Score
1079
Single Precision Score
3510
Half Precision Score
1327
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 03 2024 11:48 AM |
| Views | 2 |
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% |
536
99.6 IPS |
|
|
Image Classification (HP)
|
100% |
2836
527.4 IPS |
|
|
Image Classification (Q)
|
99% |
2855
532.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
431
6.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
481
7.80 IPS |
|
|
Image Segmentation (Q)
|
100% |
486
7.88 IPS |
|
|
Pose Estimation (SP)
|
100% |
2917
3.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
27760
32.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
2764
3.24 IPS |
|
|
Object Detection (SP)
|
100% |
543
43.1 IPS |
|
|
Object Detection (HP)
|
100% |
2615
207.4 IPS |
|
|
Object Detection (Q)
|
94% |
268
21.4 IPS |
|
|
Face Detection (SP)
|
100% |
1076
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
6923
82.3 IPS |
|
|
Face Detection (Q)
|
100% |
321
3.81 IPS |
|
|
Depth Estimation (SP)
|
100% |
1562
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22074
170.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
22014
170.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4162
5.35 IPS |
|
|
Style Transfer (HP)
|
100% |
9796
12.6 IPS |
|
|
Style Transfer (Q)
|
100% |
9911
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1674
61.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4381
161.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
546
20.2 IPS |
|
|
Text Classification (SP)
|
100% |
766
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
439
585.3 IPS |
|
|
Text Classification (Q)
|
93% |
437
586.7 IPS |
|
|
Machine Translation (SP)
|
100% |
657
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
996
17.2 IPS |
|
|
Machine Translation (Q)
|
98% |
991
17.1 IPS |
