iPhone 15 Plus
Geekbench AI Score
3434
Single Precision Score
6075
Half Precision Score
4925
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2026 03:04 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1425
265.0 IPS |
|
|
Image Classification (HP)
|
100% |
2541
472.5 IPS |
|
|
Image Classification (Q)
|
96% |
1745
325.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1446
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2130
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2637
42.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6387
7.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
14266
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12043
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1546
122.6 IPS |
|
|
Object Detection (HP)
|
97% |
2897
230.6 IPS |
|
|
Object Detection (Q)
|
94% |
2045
163.0 IPS |
|
|
Face Detection (SP)
|
100% |
3099
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
5984
71.1 IPS |
|
|
Face Detection (Q)
|
100% |
3396
40.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5859
45.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11440
88.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7913
61.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17345
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28833
37.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23650
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3861
142.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5017
185.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3783
139.7 IPS |
|
|
Text Classification (SP)
|
100% |
2677
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4782
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4789
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3449
59.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6465
111.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6436
111.2 IPS |
