iPhone 16 Pro Max
Geekbench AI Score
4481
Single Precision Score
7396
Half Precision Score
6006
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 04 2025 09:05 PM |
| Views | 1 |
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% |
2026
376.7 IPS |
|
|
Image Classification (HP)
|
100% |
3460
643.4 IPS |
|
|
Image Classification (Q)
|
96% |
2319
433.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1780
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2794
45.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3283
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8987
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17259
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14642
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2289
181.5 IPS |
|
|
Object Detection (HP)
|
97% |
3686
293.5 IPS |
|
|
Object Detection (Q)
|
94% |
2604
207.5 IPS |
|
|
Face Detection (SP)
|
100% |
3506
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
6912
82.1 IPS |
|
|
Face Detection (Q)
|
100% |
3967
47.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7882
60.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13394
103.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
8648
67.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20847
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35219
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
28780
37.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5203
192.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7129
263.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5037
186.0 IPS |
|
|
Text Classification (SP)
|
100% |
3672
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
6130
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6163
8.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
4003
68.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5593
96.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6875
118.8 IPS |
