iPhone 15
Geekbench AI Score
3452
Single Precision Score
6100
Half Precision Score
4934
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 02 2025 02:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1386
257.7 IPS |
|
|
Image Classification (HP)
|
100% |
2564
476.8 IPS |
|
|
Image Classification (Q)
|
96% |
1730
323.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1443
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2652
43.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6589
7.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
14670
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12088
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1556
123.4 IPS |
|
|
Object Detection (HP)
|
97% |
2891
230.1 IPS |
|
|
Object Detection (Q)
|
94% |
2059
164.1 IPS |
|
|
Face Detection (SP)
|
100% |
3152
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6025
71.6 IPS |
|
|
Face Detection (Q)
|
100% |
3394
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5838
45.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11397
88.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7852
61.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17292
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28689
36.9 IPS |
|
|
Style Transfer (Q)
|
96% |
23431
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3882
143.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5078
187.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3872
143.0 IPS |
|
|
Text Classification (SP)
|
100% |
2687
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4770
6.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4760
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3535
60.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6491
112.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6512
112.5 IPS |
