iPhone 16 Pro Max
Geekbench AI Score
3858
Single Precision Score
7018
Half Precision Score
5582
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | cconway |
| Upload Date | August 21 2025 12:25 AM |
| Views | 9 |
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% |
1950
362.7 IPS |
|
|
Image Classification (HP)
|
100% |
3256
605.6 IPS |
|
|
Image Classification (Q)
|
96% |
2296
428.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1088
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2029
32.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2284
37.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6800
7.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
14815
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11995
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
2001
158.7 IPS |
|
|
Object Detection (HP)
|
97% |
3485
277.4 IPS |
|
|
Object Detection (Q)
|
94% |
2430
193.7 IPS |
|
|
Face Detection (SP)
|
100% |
2684
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
6116
72.7 IPS |
|
|
Face Detection (Q)
|
100% |
3627
43.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7179
55.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
12699
98.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
8645
67.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18756
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
34795
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28114
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4834
178.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6958
256.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4825
178.2 IPS |
|
|
Text Classification (SP)
|
100% |
3763
5.02 KIPS |
|
|
Text Classification (HP)
|
99% |
6400
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6346
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3850
66.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7061
122.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7122
123.1 IPS |
