iPhone SE (3rd generation)
Geekbench AI Score
2973
Single Precision Score
4454
Half Precision Score
3648
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | sichunlam |
| Upload Date | August 15 2024 06:19 PM |
| Views | 4 |
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
264.2 IPS |
|
|
Image Classification (HP)
|
100% |
1778
330.7 IPS |
|
|
Image Classification (Q)
|
99% |
1755
327.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1177
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1138
18.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
1137
18.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5820
6.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
13471
15.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
11169
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1430
113.4 IPS |
|
|
Object Detection (HP)
|
97% |
2104
167.5 IPS |
|
|
Object Detection (Q)
|
94% |
1603
127.8 IPS |
|
|
Face Detection (SP)
|
100% |
2404
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
3979
47.3 IPS |
|
|
Face Detection (Q)
|
100% |
2544
30.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4875
37.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8004
61.8 IPS |
|
|
Depth Estimation (Q)
|
96% |
3663
28.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16150
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
25205
32.4 IPS |
|
|
Style Transfer (Q)
|
100% |
25079
32.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3470
128.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4616
170.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3455
128.0 IPS |
|
|
Text Classification (SP)
|
100% |
2372
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
3360
4.48 KIPS |
|
|
Text Classification (Q)
|
93% |
3364
4.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2489
42.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4304
74.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4302
74.3 IPS |
