iPhone SE (3rd generation)
Geekbench AI Score
2274
Single Precision Score
2448
Half Precision Score
2137
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 11 2024 03:51 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
940
174.9 IPS |
|
|
Image Classification (HP)
|
100% |
831
154.6 IPS |
|
|
Image Classification (Q)
|
97% |
593
110.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1633
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1603
26.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1825
29.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6855
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
7175
8.37 IPS |
|
|
Pose Estimation (Q)
|
95% |
6874
8.06 IPS |
|
|
Object Detection (SP)
|
100% |
1000
79.3 IPS |
|
|
Object Detection (HP)
|
100% |
958
76.0 IPS |
|
|
Object Detection (Q)
|
91% |
796
63.6 IPS |
|
|
Face Detection (SP)
|
100% |
3661
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
4110
48.8 IPS |
|
|
Face Detection (Q)
|
100% |
2766
32.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5670
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
6351
48.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
5122
40.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16648
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19288
24.8 IPS |
|
|
Style Transfer (Q)
|
96% |
17083
22.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2749
101.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2705
99.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2226
82.2 IPS |
|
|
Text Classification (SP)
|
100% |
1145
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
2003
2.67 KIPS |
|
|
Text Classification (Q)
|
93% |
1994
2.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
324
5.58 IPS |
|
|
Machine Translation (HP)
|
100% |
310
5.34 IPS |
|
|
Machine Translation (Q)
|
98% |
313
5.42 IPS |
