iPhone 16 Plus
Geekbench AI Score
4479
Single Precision Score
7583
Half Precision Score
6088
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 25 2025 10:27 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| Model | iPhone 16 Plus |
| Model ID | iPhone17,4 |
| Motherboard | D48AP |
| CPU Information | |
|---|---|
| Name | Apple A18 |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2044
380.1 IPS |
|
|
Image Classification (HP)
|
100% |
3217
598.2 IPS |
|
|
Image Classification (Q)
|
96% |
2211
412.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1823
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2831
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3241
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9195
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19046
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16134
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2316
183.7 IPS |
|
|
Object Detection (HP)
|
97% |
3761
299.4 IPS |
|
|
Object Detection (Q)
|
94% |
2624
209.2 IPS |
|
|
Face Detection (SP)
|
100% |
3607
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
6922
82.2 IPS |
|
|
Face Detection (Q)
|
100% |
4059
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8164
62.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14283
110.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9991
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19546
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37825
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31031
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5355
197.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7189
265.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5107
188.6 IPS |
|
|
Text Classification (SP)
|
100% |
3376
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5919
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5912
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3937
67.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6062
104.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6070
104.9 IPS |
