iPhone 16 Pro Max
Geekbench AI Score
4497
Single Precision Score
7656
Half Precision Score
6094
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 03 2025 12:36 PM |
| Views | 7 |
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% |
1983
368.7 IPS |
|
|
Image Classification (HP)
|
100% |
3402
632.6 IPS |
|
|
Image Classification (Q)
|
96% |
2302
429.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1740
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2780
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3206
52.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8925
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17739
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14994
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2227
176.6 IPS |
|
|
Object Detection (HP)
|
97% |
3710
295.4 IPS |
|
|
Object Detection (Q)
|
94% |
2579
205.6 IPS |
|
|
Face Detection (SP)
|
100% |
3612
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
6902
82.0 IPS |
|
|
Face Detection (Q)
|
100% |
3978
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7966
61.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13564
104.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9436
73.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21354
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37258
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
29164
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5353
197.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7170
264.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5082
187.7 IPS |
|
|
Text Classification (SP)
|
100% |
3688
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6122
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6103
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
4072
70.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7261
125.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7293
126.0 IPS |
