iPhone 15
Geekbench AI Score
3285
Single Precision Score
6130
Half Precision Score
4967
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 26 2026 09:25 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 5.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1321
245.7 IPS |
|
|
Image Classification (HP)
|
100% |
2636
490.2 IPS |
|
|
Image Classification (Q)
|
96% |
1828
341.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1434
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2176
35.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2681
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6029
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
14123
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12147
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1380
109.4 IPS |
|
|
Object Detection (HP)
|
97% |
2887
229.8 IPS |
|
|
Object Detection (Q)
|
94% |
2086
166.3 IPS |
|
|
Face Detection (SP)
|
100% |
3009
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
6001
71.3 IPS |
|
|
Face Detection (Q)
|
100% |
3337
39.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5596
43.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11430
88.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7861
61.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16717
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27735
35.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22793
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3607
133.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5208
192.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3815
140.9 IPS |
|
|
Text Classification (SP)
|
100% |
2756
3.68 KIPS |
|
|
Text Classification (HP)
|
99% |
4738
6.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4749
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3321
57.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6828
118.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6802
117.6 IPS |
