iPhone 15
Geekbench AI Score
3345
Single Precision Score
6185
Half Precision Score
5036
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 11:44 PM |
| 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% |
1343
249.7 IPS |
|
|
Image Classification (HP)
|
100% |
2614
486.0 IPS |
|
|
Image Classification (Q)
|
96% |
1818
339.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1408
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2143
34.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2696
43.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6270
7.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
14727
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12369
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1448
114.9 IPS |
|
|
Object Detection (HP)
|
97% |
2911
231.8 IPS |
|
|
Object Detection (Q)
|
94% |
2089
166.5 IPS |
|
|
Face Detection (SP)
|
100% |
3091
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
6147
73.0 IPS |
|
|
Face Detection (Q)
|
100% |
3467
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5583
43.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11558
89.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8001
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17201
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28369
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23464
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3686
136.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5113
188.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3897
143.9 IPS |
|
|
Text Classification (SP)
|
100% |
2773
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4794
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4729
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3372
58.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6908
119.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6908
119.4 IPS |
