iPhone SE (2nd generation)
Geekbench AI Score
1416
Single Precision Score
2529
Half Precision Score
2100
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | raritymlp |
| Upload Date | August 16 2024 01:19 PM |
| Views | 2 |
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% |
761
141.5 IPS |
|
|
Image Classification (HP)
|
100% |
1149
213.7 IPS |
|
|
Image Classification (Q)
|
99% |
1145
213.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
587
9.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
698
11.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
682
11.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3194
3.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
6192
7.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
5263
6.17 IPS |
|
|
Object Detection (SP)
|
100% |
636
50.4 IPS |
|
|
Object Detection (HP)
|
97% |
1244
99.1 IPS |
|
|
Object Detection (Q)
|
94% |
964
76.9 IPS |
|
|
Face Detection (SP)
|
100% |
1137
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
2344
27.8 IPS |
|
|
Face Detection (Q)
|
100% |
1394
16.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2148
16.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4684
36.2 IPS |
|
|
Depth Estimation (Q)
|
96% |
2443
18.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6616
8.50 IPS |
|
|
Style Transfer (HP)
|
100% |
12376
15.9 IPS |
|
|
Style Transfer (Q)
|
100% |
12533
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1500
55.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2445
90.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1911
70.8 IPS |
|
|
Text Classification (SP)
|
100% |
1412
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2398
3.20 KIPS |
|
|
Text Classification (Q)
|
93% |
2383
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1044
18.0 IPS |
|
|
Machine Translation (HP)
|
98% |
2181
37.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2171
37.5 IPS |
