iPhone SE (3rd generation)
Geekbench AI Score
2429
Single Precision Score
2917
Half Precision Score
2499
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 10:58 AM |
| Views | 1 |
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% |
623
115.9 IPS |
|
|
Image Classification (HP)
|
100% |
884
164.4 IPS |
|
|
Image Classification (Q)
|
97% |
533
99.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1866
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2068
33.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2006
32.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9235
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10040
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9297
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
833
66.1 IPS |
|
|
Object Detection (HP)
|
100% |
1069
84.8 IPS |
|
|
Object Detection (Q)
|
91% |
593
47.4 IPS |
|
|
Face Detection (SP)
|
100% |
3573
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
5045
59.9 IPS |
|
|
Face Detection (Q)
|
100% |
3049
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6217
47.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6126
47.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
6320
49.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16611
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19271
24.8 IPS |
|
|
Style Transfer (Q)
|
96% |
17758
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2815
104.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2898
107.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3293
121.6 IPS |
|
|
Text Classification (SP)
|
100% |
2452
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4155
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4085
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
315
5.43 IPS |
|
|
Machine Translation (HP)
|
100% |
317
5.46 IPS |
|
|
Machine Translation (Q)
|
98% |
351
6.07 IPS |
