iPhone SE (3rd generation)
Geekbench AI Score
2598
Single Precision Score
2865
Half Precision Score
2578
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | MidniteMarv |
| Upload Date | February 11 2025 03:27 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
644
119.7 IPS |
|
|
Image Classification (HP)
|
100% |
762
141.7 IPS |
|
|
Image Classification (Q)
|
97% |
702
131.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1971
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2005
32.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1964
31.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9289
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
9986
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9271
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1196
94.9 IPS |
|
|
Object Detection (HP)
|
100% |
978
77.6 IPS |
|
|
Object Detection (Q)
|
91% |
745
59.5 IPS |
|
|
Face Detection (SP)
|
100% |
4219
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
4717
56.0 IPS |
|
|
Face Detection (Q)
|
100% |
2956
35.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6683
51.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6586
50.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
6174
48.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16713
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19446
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18010
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2857
105.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2831
104.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3267
120.6 IPS |
|
|
Text Classification (SP)
|
100% |
2380
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
4078
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4065
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
311
5.35 IPS |
|
|
Machine Translation (HP)
|
100% |
359
6.18 IPS |
|
|
Machine Translation (Q)
|
98% |
312
5.39 IPS |
