iPhone 15
Geekbench AI Score
3873
Single Precision Score
4191
Half Precision Score
4034
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Numair-AIDROOS |
| Upload Date | March 26 2026 04:38 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
885
164.6 IPS |
|
|
Image Classification (HP)
|
100% |
733
136.3 IPS |
|
|
Image Classification (Q)
|
94% |
711
132.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2879
46.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2892
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2742
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11836
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12882
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12526
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1392
110.4 IPS |
|
|
Object Detection (HP)
|
100% |
1409
111.8 IPS |
|
|
Object Detection (Q)
|
91% |
1244
99.5 IPS |
|
|
Face Detection (SP)
|
100% |
4678
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
4831
57.4 IPS |
|
|
Face Detection (Q)
|
100% |
6036
71.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8437
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8922
68.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8395
65.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21760
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23783
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23287
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3723
137.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4075
150.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3527
130.2 IPS |
|
|
Text Classification (SP)
|
100% |
5200
6.94 KIPS |
|
|
Text Classification (HP)
|
100% |
8412
11.2 KIPS |
|
|
Text Classification (Q)
|
92% |
8372
11.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
1090
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1237
21.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1079
18.6 IPS |
