iPhone 16 Pro
Geekbench AI Score
4293
Single Precision Score
7505
Half Precision Score
5943
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 24 2024 10:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone 16 Pro |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| 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% |
1933
359.5 IPS |
|
|
Image Classification (HP)
|
100% |
3333
619.8 IPS |
|
|
Image Classification (Q)
|
96% |
2266
423.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1837
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2922
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3261
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8086
9.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
16619
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14012
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1998
158.5 IPS |
|
|
Object Detection (HP)
|
97% |
3727
296.7 IPS |
|
|
Object Detection (Q)
|
94% |
2536
202.1 IPS |
|
|
Face Detection (SP)
|
100% |
3413
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
7223
85.8 IPS |
|
|
Face Detection (Q)
|
100% |
4016
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7166
55.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13141
101.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9222
72.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22502
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35377
45.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28628
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5249
193.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6800
251.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4773
176.2 IPS |
|
|
Text Classification (SP)
|
100% |
3431
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5898
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5968
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3743
64.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6979
120.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6941
120.0 IPS |
