iPhone 16 Pro
Geekbench AI Score
4506
Single Precision Score
7729
Half Precision Score
6165
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 27 2024 09:46 AM |
| 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% |
2031
377.7 IPS |
|
|
Image Classification (HP)
|
100% |
3393
631.0 IPS |
|
|
Image Classification (Q)
|
96% |
2281
425.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1956
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2936
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3378
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8754
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17819
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14928
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2125
168.6 IPS |
|
|
Object Detection (HP)
|
97% |
3793
301.9 IPS |
|
|
Object Detection (Q)
|
94% |
2674
213.1 IPS |
|
|
Face Detection (SP)
|
100% |
3605
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
7502
89.1 IPS |
|
|
Face Detection (Q)
|
100% |
4206
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7481
57.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14021
108.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9681
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23721
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37097
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30586
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5579
206.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6934
256.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4979
183.9 IPS |
|
|
Text Classification (SP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5882
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5860
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3837
66.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7108
122.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7100
122.7 IPS |
