iPhone 15 Plus
Geekbench AI Score
1739
Single Precision Score
3206
Half Precision Score
2569
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 07:46 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone 15 Plus |
| Model ID | iPhone15,5 |
| Motherboard | D38AP |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
659
122.5 IPS |
|
|
Image Classification (HP)
|
100% |
1295
240.8 IPS |
|
|
Image Classification (Q)
|
96% |
865
161.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
738
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1168
18.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1326
21.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3131
3.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
7411
8.65 IPS |
|
|
Pose Estimation (Q)
|
95% |
6490
7.61 IPS |
|
|
Object Detection (SP)
|
100% |
688
54.6 IPS |
|
|
Object Detection (HP)
|
97% |
1475
117.4 IPS |
|
|
Object Detection (Q)
|
94% |
1036
82.6 IPS |
|
|
Face Detection (SP)
|
100% |
1710
20.3 IPS |
|
|
Face Detection (HP)
|
100% |
3048
36.2 IPS |
|
|
Face Detection (Q)
|
100% |
1729
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2892
22.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
5889
45.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
3998
31.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9065
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
14603
18.8 IPS |
|
|
Style Transfer (Q)
|
96% |
11984
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1990
73.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2712
100.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2022
74.7 IPS |
|
|
Text Classification (SP)
|
100% |
1481
1.98 KIPS |
|
|
Text Classification (HP)
|
99% |
2554
3.41 KIPS |
|
|
Text Classification (Q)
|
93% |
2535
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1828
31.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3828
66.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3832
66.2 IPS |
