iPhone 15
Geekbench AI Score
3094
Single Precision Score
5838
Half Precision Score
4748
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 04:50 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% |
1360
252.8 IPS |
|
|
Image Classification (HP)
|
100% |
2604
484.3 IPS |
|
|
Image Classification (Q)
|
96% |
1826
341.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1443
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2162
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2598
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4715
5.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
12494
14.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
10797
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
1284
101.9 IPS |
|
|
Object Detection (HP)
|
97% |
2768
220.3 IPS |
|
|
Object Detection (Q)
|
94% |
1940
154.6 IPS |
|
|
Face Detection (SP)
|
100% |
2903
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
5696
67.7 IPS |
|
|
Face Detection (Q)
|
100% |
3208
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5122
39.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10284
79.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7727
60.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15721
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
25892
33.3 IPS |
|
|
Style Transfer (Q)
|
96% |
20908
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3345
123.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4883
180.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3589
132.5 IPS |
|
|
Text Classification (SP)
|
100% |
2763
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4823
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4737
6.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3137
54.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6614
114.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6651
114.9 IPS |
