iPhone SE (3rd generation)
Geekbench AI Score
3199
Single Precision Score
18624
Half Precision Score
20644
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 24 2024 08:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1351
251.3 IPS |
|
|
Image Classification (HP)
|
100% |
9002
1.67 KIPS |
|
|
Image Classification (Q)
|
96% |
9654
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1349
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
11408
184.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
13843
224.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5965
6.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
81156
94.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
78963
92.5 IPS |
|
|
Object Detection (SP)
|
100% |
1396
110.8 IPS |
|
|
Object Detection (HP)
|
99% |
10957
871.6 IPS |
|
|
Object Detection (Q)
|
91% |
11729
937.2 IPS |
|
|
Face Detection (SP)
|
100% |
2746
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
23469
278.9 IPS |
|
|
Face Detection (Q)
|
100% |
29541
351.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5242
40.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
53838
414.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
70507
551.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16606
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
143441
184.4 IPS |
|
|
Style Transfer (Q)
|
96% |
140002
180.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3729
137.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28900
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31025
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
2415
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (Q)
|
93% |
2300
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3442
59.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4566
78.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5459
94.3 IPS |
