iPhone 16 Pro Max
Geekbench AI Score
4426
Single Precision Score
7674
Half Precision Score
6109
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Graeme Stewart |
| Upload Date | January 28 2025 04:07 PM |
| Views | 9 |
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% |
1996
371.2 IPS |
|
|
Image Classification (HP)
|
100% |
3381
628.8 IPS |
|
|
Image Classification (Q)
|
96% |
2257
421.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1908
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2927
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3333
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8591
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17650
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14846
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2088
165.7 IPS |
|
|
Object Detection (HP)
|
97% |
3740
297.8 IPS |
|
|
Object Detection (Q)
|
94% |
2637
210.2 IPS |
|
|
Face Detection (SP)
|
100% |
3511
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
7312
86.9 IPS |
|
|
Face Detection (Q)
|
100% |
4143
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7509
57.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13795
106.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9626
75.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23219
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37014
47.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30142
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5386
198.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6917
255.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4905
181.1 IPS |
|
|
Text Classification (SP)
|
100% |
3460
4.62 KIPS |
|
|
Text Classification (HP)
|
100% |
6020
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5993
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3710
63.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6977
120.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6964
120.4 IPS |
