iPhone 16 Pro Max
Geekbench AI Score
4583
Single Precision Score
7739
Half Precision Score
6199
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 09 2026 04:18 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
2022
376.0 IPS |
|
|
Image Classification (HP)
|
100% |
3480
647.2 IPS |
|
|
Image Classification (Q)
|
96% |
2328
434.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1796
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2799
45.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3281
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9147
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18139
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15304
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2329
184.7 IPS |
|
|
Object Detection (HP)
|
97% |
3722
296.3 IPS |
|
|
Object Detection (Q)
|
94% |
2630
209.6 IPS |
|
|
Face Detection (SP)
|
100% |
3617
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
7023
83.5 IPS |
|
|
Face Detection (Q)
|
100% |
4076
48.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8145
62.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13781
106.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9684
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22286
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37179
47.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30173
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5359
197.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7130
263.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5024
185.5 IPS |
|
|
Text Classification (SP)
|
100% |
3686
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6165
8.23 KIPS |
|
|
Text Classification (Q)
|
93% |
6111
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
4079
70.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7412
128.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7463
129.0 IPS |
