iPhone 16 Pro Max
Geekbench AI Score
4486
Single Precision Score
7621
Half Precision Score
6139
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 28 2025 02:50 AM |
| Views | 3 |
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% |
1991
370.2 IPS |
|
|
Image Classification (HP)
|
100% |
3440
639.8 IPS |
|
|
Image Classification (Q)
|
96% |
2337
436.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1751
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2765
44.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3281
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8665
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17368
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14631
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2267
179.8 IPS |
|
|
Object Detection (HP)
|
97% |
3685
293.3 IPS |
|
|
Object Detection (Q)
|
94% |
2584
205.9 IPS |
|
|
Face Detection (SP)
|
100% |
3577
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
6914
82.2 IPS |
|
|
Face Detection (Q)
|
100% |
3960
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7869
60.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13468
104.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9418
73.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21517
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35905
46.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29712
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5297
195.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7134
263.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5099
188.3 IPS |
|
|
Text Classification (SP)
|
100% |
3692
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6244
8.33 KIPS |
|
|
Text Classification (Q)
|
93% |
6279
8.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4076
70.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7293
126.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7399
127.9 IPS |
