iPhone SE (2nd generation)
Geekbench AI Score
1136
Single Precision Score
3465
Half Precision Score
1349
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 29 2024 12:29 PM |
| 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% |
542
100.9 IPS |
|
|
Image Classification (HP)
|
100% |
2705
503.1 IPS |
|
|
Image Classification (Q)
|
99% |
2793
521.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
433
7.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
490
7.95 IPS |
|
|
Image Segmentation (Q)
|
100% |
488
7.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
3085
3.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
27790
32.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
2963
3.47 IPS |
|
|
Object Detection (SP)
|
100% |
563
44.7 IPS |
|
|
Object Detection (HP)
|
100% |
2453
194.6 IPS |
|
|
Object Detection (Q)
|
94% |
276
22.0 IPS |
|
|
Face Detection (SP)
|
100% |
1125
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
6704
79.7 IPS |
|
|
Face Detection (Q)
|
100% |
361
4.29 IPS |
|
|
Depth Estimation (SP)
|
100% |
1779
13.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
21477
165.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
21337
165.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4622
5.94 IPS |
|
|
Style Transfer (HP)
|
100% |
9559
12.3 IPS |
|
|
Style Transfer (Q)
|
100% |
9538
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1688
62.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4461
164.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
549
20.3 IPS |
|
|
Text Classification (SP)
|
100% |
756
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
455
607.1 IPS |
|
|
Text Classification (Q)
|
93% |
456
611.7 IPS |
|
|
Machine Translation (SP)
|
100% |
744
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
991
17.1 IPS |
|
|
Machine Translation (Q)
|
98% |
979
16.9 IPS |
