iPhone SE (2nd generation)
Geekbench AI Score
1528
Single Precision Score
2598
Half Precision Score
2243
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | September 06 2024 07:44 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
690
128.3 IPS |
|
|
Image Classification (HP)
|
100% |
1060
197.1 IPS |
|
|
Image Classification (Q)
|
96% |
785
146.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
615
9.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
665
10.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1006
16.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3319
3.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
6345
7.40 IPS |
|
|
Pose Estimation (Q)
|
95% |
5639
6.61 IPS |
|
|
Object Detection (SP)
|
100% |
659
52.3 IPS |
|
|
Object Detection (HP)
|
97% |
1294
103.0 IPS |
|
|
Object Detection (Q)
|
94% |
998
79.5 IPS |
|
|
Face Detection (SP)
|
100% |
1335
15.9 IPS |
|
|
Face Detection (HP)
|
100% |
2651
31.5 IPS |
|
|
Face Detection (Q)
|
100% |
1602
19.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2764
21.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
4749
36.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
3535
27.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6568
8.44 IPS |
|
|
Style Transfer (HP)
|
100% |
13270
17.1 IPS |
|
|
Style Transfer (Q)
|
96% |
11082
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1961
72.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2625
96.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2108
77.9 IPS |
|
|
Text Classification (SP)
|
100% |
1410
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2385
3.18 KIPS |
|
|
Text Classification (Q)
|
93% |
2363
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1119
19.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2322
40.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2321
40.1 IPS |
