iPhone 15 Plus
Geekbench AI Score
3386
Single Precision Score
22891
Half Precision Score
26518
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 07:19 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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% |
1371
255.0 IPS |
|
|
Image Classification (HP)
|
100% |
10043
1.87 KIPS |
|
|
Image Classification (Q)
|
97% |
12895
2.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1438
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14002
227.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
17613
285.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6291
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
102369
119.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
104801
122.8 IPS |
|
|
Object Detection (SP)
|
100% |
1529
121.2 IPS |
|
|
Object Detection (HP)
|
100% |
12933
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
15284
1.22 KIPS |
|
|
Face Detection (SP)
|
100% |
2935
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
31274
371.6 IPS |
|
|
Face Detection (Q)
|
100% |
40146
477.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5812
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
73164
563.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
95600
747.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16561
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
182037
234.0 IPS |
|
|
Style Transfer (Q)
|
96% |
183198
236.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3892
143.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32520
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37862
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
2725
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
2064
2.75 KIPS |
|
|
Text Classification (Q)
|
93% |
2126
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3490
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7593
130.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8353
144.4 IPS |
