iPhone 16
Geekbench AI Score
4192
Single Precision Score
7296
Half Precision Score
5836
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 04 2025 12:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone 16 |
| Model ID | iPhone17,3 |
| Motherboard | D47AP |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1776
330.2 IPS |
|
|
Image Classification (HP)
|
100% |
3154
586.6 IPS |
|
|
Image Classification (Q)
|
96% |
2171
405.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1754
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2813
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3226
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7944
9.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
16685
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14343
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2008
159.3 IPS |
|
|
Object Detection (HP)
|
97% |
3682
293.2 IPS |
|
|
Object Detection (Q)
|
94% |
2554
203.6 IPS |
|
|
Face Detection (SP)
|
100% |
3222
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
6833
81.2 IPS |
|
|
Face Detection (Q)
|
100% |
3922
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7317
56.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13347
103.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9319
72.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22200
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36279
46.6 IPS |
|
|
Style Transfer (Q)
|
96% |
29325
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5244
193.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6759
249.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4710
173.9 IPS |
|
|
Text Classification (SP)
|
100% |
3442
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5956
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5975
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3574
61.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5888
101.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5925
102.4 IPS |
