iPhone 16 Pro Max
Geekbench AI Score
3836
Single Precision Score
6831
Half Precision Score
5466
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | adrianclark |
| Upload Date | September 25 2025 05:21 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% |
1884
350.4 IPS |
|
|
Image Classification (HP)
|
100% |
3402
632.7 IPS |
|
|
Image Classification (Q)
|
96% |
2292
427.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1636
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2697
43.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3106
50.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7436
8.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
15031
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13005
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
2116
167.8 IPS |
|
|
Object Detection (HP)
|
97% |
3373
268.5 IPS |
|
|
Object Detection (Q)
|
94% |
2363
188.4 IPS |
|
|
Face Detection (SP)
|
100% |
2949
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
6223
73.9 IPS |
|
|
Face Detection (Q)
|
100% |
3541
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6214
47.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
9240
71.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
6517
50.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13562
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29624
38.1 IPS |
|
|
Style Transfer (Q)
|
96% |
24287
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4088
150.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6431
237.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4564
168.5 IPS |
|
|
Text Classification (SP)
|
100% |
3819
5.10 KIPS |
|
|
Text Classification (HP)
|
99% |
6554
8.75 KIPS |
|
|
Text Classification (Q)
|
93% |
6459
8.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3669
63.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6625
114.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6598
114.0 IPS |
