iPhone 16 Pro Max
Geekbench AI Score
4350
Single Precision Score
7392
Half Precision Score
5903
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 09:07 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1972
366.8 IPS |
|
|
Image Classification (HP)
|
100% |
3428
637.5 IPS |
|
|
Image Classification (Q)
|
96% |
2322
433.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1800
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2720
44.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3111
50.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8278
9.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
16283
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13902
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
2184
173.3 IPS |
|
|
Object Detection (HP)
|
97% |
3540
281.8 IPS |
|
|
Object Detection (Q)
|
94% |
2507
199.9 IPS |
|
|
Face Detection (SP)
|
100% |
3429
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
6642
78.9 IPS |
|
|
Face Detection (Q)
|
100% |
3836
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7569
58.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13072
101.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9014
70.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19759
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34425
44.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27415
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4930
182.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6863
253.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4846
178.9 IPS |
|
|
Text Classification (SP)
|
100% |
3746
5.00 KIPS |
|
|
Text Classification (HP)
|
99% |
6386
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
6353
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3992
68.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6926
119.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7001
121.0 IPS |
