iPhone SE (3rd generation)
Geekbench AI Score
3320
Single Precision Score
18593
Half Precision Score
21673
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 11:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1353
251.7 IPS |
|
|
Image Classification (HP)
|
100% |
7897
1.47 KIPS |
|
|
Image Classification (Q)
|
96% |
9132
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1346
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12438
201.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
14538
235.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6543
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
85929
100.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
93752
109.9 IPS |
|
|
Object Detection (SP)
|
100% |
1487
117.9 IPS |
|
|
Object Detection (HP)
|
99% |
10348
823.2 IPS |
|
|
Object Detection (Q)
|
91% |
12225
976.8 IPS |
|
|
Face Detection (SP)
|
100% |
2803
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
28273
335.9 IPS |
|
|
Face Detection (Q)
|
100% |
31712
376.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5492
42.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
51068
393.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
69012
539.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17872
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
150468
193.4 IPS |
|
|
Style Transfer (Q)
|
96% |
153136
197.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3939
145.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25873
955.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27886
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2410
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
1629
2.17 KIPS |
|
|
Text Classification (Q)
|
93% |
2208
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3525
60.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6175
106.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7284
125.9 IPS |
