iPhone 16 Pro Max
Geekbench AI Score
4519
Single Precision Score
7618
Half Precision Score
6118
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 01 2025 10:13 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1992
370.4 IPS |
|
|
Image Classification (HP)
|
100% |
3459
643.2 IPS |
|
|
Image Classification (Q)
|
96% |
2308
430.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1786
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2785
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3271
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8977
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17541
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14863
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2274
180.4 IPS |
|
|
Object Detection (HP)
|
97% |
3714
295.7 IPS |
|
|
Object Detection (Q)
|
94% |
2619
208.7 IPS |
|
|
Face Detection (SP)
|
100% |
3554
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
6947
82.5 IPS |
|
|
Face Detection (Q)
|
100% |
3992
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8022
61.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13545
104.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9435
73.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21360
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36175
46.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29506
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5398
199.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7099
262.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5049
186.4 IPS |
|
|
Text Classification (SP)
|
100% |
3675
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6106
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6066
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
4048
69.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7118
123.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7351
127.0 IPS |
