iPhone 16 Pro Max
Geekbench AI Score
4540
Single Precision Score
7681
Half Precision Score
6156
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | alifeinpixels |
| Upload Date | September 24 2025 10:38 PM |
| Views | 4 |
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% |
1978
367.9 IPS |
|
|
Image Classification (HP)
|
100% |
3452
642.0 IPS |
|
|
Image Classification (Q)
|
96% |
2312
431.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1747
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2769
44.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3271
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9057
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18140
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15199
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2312
183.4 IPS |
|
|
Object Detection (HP)
|
97% |
3694
294.0 IPS |
|
|
Object Detection (Q)
|
94% |
2616
208.5 IPS |
|
|
Face Detection (SP)
|
100% |
3577
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
6907
82.1 IPS |
|
|
Face Detection (Q)
|
100% |
3945
46.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8086
62.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13700
105.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9537
74.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21862
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37162
47.8 IPS |
|
|
Style Transfer (Q)
|
96% |
29823
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5435
200.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7160
264.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5133
189.5 IPS |
|
|
Text Classification (SP)
|
100% |
3689
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6115
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6100
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
4062
70.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7250
125.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7410
128.1 IPS |
