iPhone 15
Geekbench AI Score
3393
Single Precision Score
5912
Half Precision Score
4758
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | justintea |
| Upload Date | January 04 2025 05:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| Model | iPhone 15 |
| Model ID | iPhone15,4 |
| Motherboard | D37AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1452
270.0 IPS |
|
|
Image Classification (HP)
|
100% |
2551
474.4 IPS |
|
|
Image Classification (Q)
|
96% |
1745
325.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1521
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2249
36.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2690
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6119
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
13610
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11363
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1477
117.1 IPS |
|
|
Object Detection (HP)
|
97% |
2731
217.4 IPS |
|
|
Object Detection (Q)
|
94% |
2014
160.6 IPS |
|
|
Face Detection (SP)
|
100% |
3114
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
5713
67.9 IPS |
|
|
Face Detection (Q)
|
100% |
3283
39.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5550
42.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11681
90.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7734
60.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16727
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26967
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22129
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3779
139.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4896
180.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3538
130.6 IPS |
|
|
Text Classification (SP)
|
100% |
2681
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4763
6.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4741
6.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3463
59.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5838
100.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5876
101.5 IPS |
