iPhone 16 Pro Max
Geekbench AI Score
4356
Single Precision Score
7475
Half Precision Score
5946
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | February 13 2026 03:25 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
1959
364.3 IPS |
|
|
Image Classification (HP)
|
100% |
3447
641.0 IPS |
|
|
Image Classification (Q)
|
96% |
2312
431.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1750
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2814
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3106
50.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8260
9.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
16387
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13992
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
2256
179.0 IPS |
|
|
Object Detection (HP)
|
97% |
3588
285.6 IPS |
|
|
Object Detection (Q)
|
94% |
2530
201.7 IPS |
|
|
Face Detection (SP)
|
100% |
3450
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
6662
79.2 IPS |
|
|
Face Detection (Q)
|
100% |
3800
45.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7494
57.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13122
101.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
8989
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19685
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35211
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
28557
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4997
184.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7124
263.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5014
185.1 IPS |
|
|
Text Classification (SP)
|
100% |
3738
4.99 KIPS |
|
|
Text Classification (HP)
|
99% |
6103
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6075
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4052
69.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7141
123.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7315
126.4 IPS |
