iPhone SE (3rd generation)
Geekbench AI Score
2801
Single Precision Score
4375
Half Precision Score
3583
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| Upload Date | August 24 2024 02:26 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
1395
259.5 IPS |
|
|
Image Classification (HP)
|
100% |
1763
327.9 IPS |
|
|
Image Classification (Q)
|
99% |
1769
330.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1121
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1125
18.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
1123
18.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4021
4.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
10486
12.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
8602
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
1439
114.1 IPS |
|
|
Object Detection (HP)
|
97% |
2065
164.4 IPS |
|
|
Object Detection (Q)
|
94% |
1597
127.3 IPS |
|
|
Face Detection (SP)
|
100% |
2444
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
4019
47.8 IPS |
|
|
Face Detection (Q)
|
100% |
2579
30.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4655
35.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8027
62.0 IPS |
|
|
Depth Estimation (Q)
|
96% |
3562
27.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13934
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
24518
31.5 IPS |
|
|
Style Transfer (Q)
|
100% |
24876
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3592
132.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4665
172.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3478
128.8 IPS |
|
|
Text Classification (SP)
|
100% |
2387
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
3824
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3776
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2418
41.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4247
73.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4262
73.7 IPS |
