iPhone SE (3rd generation)
Geekbench AI Score
2720
Single Precision Score
2815
Half Precision Score
2464
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | jcpenni |
| Upload Date | January 06 2025 01:19 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1028
191.2 IPS |
|
|
Image Classification (HP)
|
100% |
581
108.1 IPS |
|
|
Image Classification (Q)
|
97% |
505
94.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1914
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1987
32.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1964
31.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9236
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
9974
11.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
9282
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1152
91.4 IPS |
|
|
Object Detection (HP)
|
100% |
1030
81.7 IPS |
|
|
Object Detection (Q)
|
91% |
759
60.6 IPS |
|
|
Face Detection (SP)
|
100% |
4167
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
4860
57.7 IPS |
|
|
Face Detection (Q)
|
100% |
3319
39.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6236
48.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
7565
58.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6161
48.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16650
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19019
24.4 IPS |
|
|
Style Transfer (Q)
|
96% |
17915
23.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2849
105.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2908
107.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2230
82.4 IPS |
|
|
Text Classification (SP)
|
100% |
2386
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
4084
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4056
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
361
6.21 IPS |
|
|
Machine Translation (HP)
|
100% |
318
5.48 IPS |
|
|
Machine Translation (Q)
|
98% |
357
6.17 IPS |
