iPhone SE (3rd generation)
Geekbench AI Score
2990
Single Precision Score
4447
Half Precision Score
3830
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Bartek21 |
| Upload Date | December 02 2024 08:37 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
1419
264.0 IPS |
|
|
Image Classification (HP)
|
100% |
1772
329.6 IPS |
|
|
Image Classification (Q)
|
96% |
1374
256.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1157
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1139
18.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1685
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5931
6.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
13437
15.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11567
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1431
113.5 IPS |
|
|
Object Detection (HP)
|
97% |
2111
168.1 IPS |
|
|
Object Detection (Q)
|
94% |
1594
127.0 IPS |
|
|
Face Detection (SP)
|
100% |
2427
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
3938
46.8 IPS |
|
|
Face Detection (Q)
|
100% |
2539
30.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4826
37.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
7861
60.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
5890
46.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16219
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
25207
32.4 IPS |
|
|
Style Transfer (Q)
|
96% |
21042
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3498
129.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4646
171.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3499
129.2 IPS |
|
|
Text Classification (SP)
|
100% |
2372
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
3378
4.51 KIPS |
|
|
Text Classification (Q)
|
93% |
3365
4.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2608
44.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4319
74.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4302
74.3 IPS |
