iPhone SE (2nd generation)
Geekbench AI Score
1586
Single Precision Score
3053
Half Precision Score
2688
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 03 2024 11:38 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% |
792
147.3 IPS |
|
|
Image Classification (HP)
|
100% |
1389
258.4 IPS |
|
|
Image Classification (Q)
|
99% |
1381
257.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
811
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1276
20.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
1280
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3433
4.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
6201
7.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
5535
6.49 IPS |
|
|
Object Detection (SP)
|
100% |
742
58.9 IPS |
|
|
Object Detection (HP)
|
97% |
1602
127.5 IPS |
|
|
Object Detection (Q)
|
94% |
1157
92.2 IPS |
|
|
Face Detection (SP)
|
100% |
1628
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
3215
38.2 IPS |
|
|
Face Detection (Q)
|
100% |
1765
21.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2392
18.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
5487
42.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
5551
42.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5025
6.46 IPS |
|
|
Style Transfer (HP)
|
100% |
12373
15.9 IPS |
|
|
Style Transfer (Q)
|
100% |
12845
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1992
73.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2756
101.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2067
76.6 IPS |
|
|
Text Classification (SP)
|
100% |
1295
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2151
2.87 KIPS |
|
|
Text Classification (Q)
|
93% |
2163
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1220
21.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3090
53.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3103
53.6 IPS |
