iPhone 16 Pro Max
Geekbench AI Score
4534
Single Precision Score
7639
Half Precision Score
6090
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 09:44 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2017
375.0 IPS |
|
|
Image Classification (HP)
|
100% |
3437
639.2 IPS |
|
|
Image Classification (Q)
|
96% |
2311
431.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1789
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2745
44.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3261
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9082
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18162
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15399
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2302
182.6 IPS |
|
|
Object Detection (HP)
|
97% |
3686
293.5 IPS |
|
|
Object Detection (Q)
|
94% |
2619
208.8 IPS |
|
|
Face Detection (SP)
|
100% |
3506
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
6717
79.8 IPS |
|
|
Face Detection (Q)
|
100% |
3824
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7992
61.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13543
104.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9044
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21611
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37245
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
29782
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5365
198.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7185
265.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5115
188.9 IPS |
|
|
Text Classification (SP)
|
100% |
3701
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6103
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6098
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
4054
69.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7214
124.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7191
124.3 IPS |
