iPhone 15
Geekbench AI Score
3436
Single Precision Score
4046
Half Precision Score
3638
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 28 2025 08:46 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
716
133.2 IPS |
|
|
Image Classification (HP)
|
100% |
1258
234.0 IPS |
|
|
Image Classification (Q)
|
96% |
1170
218.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2862
46.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2910
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2703
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11768
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12918
15.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
12237
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1329
105.4 IPS |
|
|
Object Detection (HP)
|
100% |
1323
105.0 IPS |
|
|
Object Detection (Q)
|
92% |
1124
89.7 IPS |
|
|
Face Detection (SP)
|
100% |
4195
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
4815
57.2 IPS |
|
|
Face Detection (Q)
|
100% |
4190
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8994
69.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8881
68.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
7930
61.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21226
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23959
30.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23332
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4047
149.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3837
141.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2557
94.4 IPS |
|
|
Text Classification (SP)
|
100% |
2806
3.75 KIPS |
|
|
Text Classification (HP)
|
99% |
4783
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4764
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
789
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1000
17.2 IPS |
|
|
Machine Translation (Q)
|
98% |
991
17.1 IPS |
