iPhone SE (3rd generation)
Geekbench AI Score
2862
Single Precision Score
4355
Half Precision Score
3568
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | kdw4gb |
| Upload Date | August 19 2024 08:36 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
1423
264.6 IPS |
|
|
Image Classification (HP)
|
100% |
1765
328.3 IPS |
|
|
Image Classification (Q)
|
99% |
1758
327.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1137
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1114
18.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
1105
17.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5462
6.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
12827
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
10753
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
1380
109.5 IPS |
|
|
Object Detection (HP)
|
97% |
2054
163.5 IPS |
|
|
Object Detection (Q)
|
94% |
1567
124.9 IPS |
|
|
Face Detection (SP)
|
100% |
2318
27.5 IPS |
|
|
Face Detection (HP)
|
100% |
3836
45.6 IPS |
|
|
Face Detection (Q)
|
100% |
2417
28.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4651
35.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
7878
60.9 IPS |
|
|
Depth Estimation (Q)
|
96% |
3512
27.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13983
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
24094
31.0 IPS |
|
|
Style Transfer (Q)
|
100% |
24574
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3460
127.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4599
169.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3426
126.9 IPS |
|
|
Text Classification (SP)
|
100% |
2354
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3342
4.46 KIPS |
|
|
Text Classification (Q)
|
93% |
3335
4.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2464
42.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4238
73.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4287
74.1 IPS |
