iPhone SE (2nd generation)
Geekbench AI Score
1346
Single Precision Score
2829
Half Precision Score
2454
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 24 2024 10:10 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
616
114.5 IPS |
|
|
Image Classification (HP)
|
100% |
1276
237.2 IPS |
|
|
Image Classification (Q)
|
99% |
1322
246.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
721
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1183
19.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
1137
18.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1968
2.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
4307
5.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
3732
4.37 IPS |
|
|
Object Detection (SP)
|
100% |
587
46.6 IPS |
|
|
Object Detection (HP)
|
97% |
1474
117.3 IPS |
|
|
Object Detection (Q)
|
94% |
1057
84.3 IPS |
|
|
Face Detection (SP)
|
100% |
1459
17.3 IPS |
|
|
Face Detection (HP)
|
100% |
3038
36.1 IPS |
|
|
Face Detection (Q)
|
100% |
1610
19.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2302
17.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5352
41.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
5374
41.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4939
6.35 IPS |
|
|
Style Transfer (HP)
|
100% |
12417
16.0 IPS |
|
|
Style Transfer (Q)
|
100% |
12344
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1917
70.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2661
98.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1923
71.2 IPS |
|
|
Text Classification (SP)
|
100% |
1291
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2161
2.88 KIPS |
|
|
Text Classification (Q)
|
93% |
2210
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
928
16.0 IPS |
|
|
Machine Translation (HP)
|
98% |
2952
51.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2946
50.9 IPS |
