iPhone 16 Pro Max
Geekbench AI Score
4023
Single Precision Score
7309
Half Precision Score
5913
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 01:19 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| Model | iPhone 16 Pro Max |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1666
309.8 IPS |
|
|
Image Classification (HP)
|
100% |
3109
578.1 IPS |
|
|
Image Classification (Q)
|
96% |
2103
392.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1740
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2812
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3171
51.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7578
8.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
16298
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14334
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2013
159.6 IPS |
|
|
Object Detection (HP)
|
97% |
3524
280.6 IPS |
|
|
Object Detection (Q)
|
94% |
2565
204.4 IPS |
|
|
Face Detection (SP)
|
100% |
3356
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
7108
84.5 IPS |
|
|
Face Detection (Q)
|
100% |
4030
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7285
56.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13443
103.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9331
72.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21813
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36044
46.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29114
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5212
192.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6832
252.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4816
177.8 IPS |
|
|
Text Classification (SP)
|
100% |
3442
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5983
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5953
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2626
45.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6156
106.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6794
117.4 IPS |
