iPhone SE (3rd generation)
Geekbench AI Score
2935
Single Precision Score
4445
Half Precision Score
3828
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 03:08 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPhone SE (3rd generation) |
| Model ID | iPhone14,6 |
| Motherboard | D49AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1421
264.3 IPS |
|
|
Image Classification (HP)
|
100% |
1763
327.9 IPS |
|
|
Image Classification (Q)
|
96% |
1358
253.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1165
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1135
18.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1685
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5775
6.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
13157
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11124
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1407
111.6 IPS |
|
|
Object Detection (HP)
|
97% |
2070
164.8 IPS |
|
|
Object Detection (Q)
|
94% |
1598
127.3 IPS |
|
|
Face Detection (SP)
|
100% |
2368
28.1 IPS |
|
|
Face Detection (HP)
|
100% |
3928
46.7 IPS |
|
|
Face Detection (Q)
|
100% |
2498
29.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4774
36.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
7941
61.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
5934
46.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15721
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
24365
31.3 IPS |
|
|
Style Transfer (Q)
|
96% |
20675
26.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3378
124.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4551
168.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3436
126.9 IPS |
|
|
Text Classification (SP)
|
100% |
2363
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
3786
5.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3734
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2487
42.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4221
72.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4235
73.2 IPS |
