iPhone SE (2nd generation)
Geekbench AI Score
1657
Single Precision Score
3109
Half Precision Score
2708
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 29 2024 12:03 PM |
| Views | 8 |
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% |
788
146.5 IPS |
|
|
Image Classification (HP)
|
100% |
1388
258.2 IPS |
|
|
Image Classification (Q)
|
99% |
1382
257.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
813
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1280
20.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
1264
20.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3362
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
6150
7.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
5221
6.12 IPS |
|
|
Object Detection (SP)
|
100% |
693
54.9 IPS |
|
|
Object Detection (HP)
|
97% |
1581
125.8 IPS |
|
|
Object Detection (Q)
|
94% |
1157
92.2 IPS |
|
|
Face Detection (SP)
|
100% |
1627
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
3223
38.3 IPS |
|
|
Face Detection (Q)
|
100% |
1798
21.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2967
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
5901
45.6 IPS |
|
|
Depth Estimation (Q)
|
96% |
5852
45.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6713
8.63 IPS |
|
|
Style Transfer (HP)
|
100% |
13774
17.7 IPS |
|
|
Style Transfer (Q)
|
100% |
13743
17.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1976
73.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2663
98.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2077
77.0 IPS |
|
|
Text Classification (SP)
|
100% |
1306
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2229
2.97 KIPS |
|
|
Text Classification (Q)
|
93% |
2146
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1251
21.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3146
54.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3119
53.9 IPS |
