iPhone 16 Pro Max
Geekbench AI Score
4431
Single Precision Score
7513
Half Precision Score
6004
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 27 2026 02:51 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1976
367.4 IPS |
|
|
Image Classification (HP)
|
100% |
3423
636.5 IPS |
|
|
Image Classification (Q)
|
96% |
2311
431.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1723
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2778
45.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3229
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8749
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17147
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14561
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2221
176.2 IPS |
|
|
Object Detection (HP)
|
97% |
3644
290.1 IPS |
|
|
Object Detection (Q)
|
94% |
2552
203.4 IPS |
|
|
Face Detection (SP)
|
100% |
3541
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
6712
79.8 IPS |
|
|
Face Detection (Q)
|
100% |
3905
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7765
59.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13131
101.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9198
71.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20731
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35202
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
28749
37.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5212
192.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7099
262.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4922
181.7 IPS |
|
|
Text Classification (SP)
|
100% |
3696
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6157
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
6066
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
4025
69.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7115
122.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7129
123.2 IPS |
