iPhone 16 Pro Max
Geekbench AI Score
4551
Single Precision Score
7715
Half Precision Score
6157
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 12 2025 01:51 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2020
375.6 IPS |
|
|
Image Classification (HP)
|
100% |
3471
645.4 IPS |
|
|
Image Classification (Q)
|
96% |
2341
437.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1760
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2798
45.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3260
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9070
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17874
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14987
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2304
182.8 IPS |
|
|
Object Detection (HP)
|
97% |
3717
295.9 IPS |
|
|
Object Detection (Q)
|
94% |
2619
208.7 IPS |
|
|
Face Detection (SP)
|
100% |
3573
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
6946
82.5 IPS |
|
|
Face Detection (Q)
|
100% |
4021
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8061
62.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13675
105.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9487
74.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21789
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36983
47.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29861
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5396
199.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7174
264.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5124
189.2 IPS |
|
|
Text Classification (SP)
|
100% |
3737
4.99 KIPS |
|
|
Text Classification (HP)
|
99% |
6211
8.29 KIPS |
|
|
Text Classification (Q)
|
93% |
6095
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
4058
69.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7406
128.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7350
127.0 IPS |
