iPhone 16 Pro Max
Geekbench AI Score
4593
Single Precision Score
7762
Half Precision Score
6174
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 18 2025 06:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2068
384.6 IPS |
|
|
Image Classification (HP)
|
100% |
3387
629.8 IPS |
|
|
Image Classification (Q)
|
96% |
2278
425.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1990
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2874
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3313
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9055
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17941
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15061
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2323
184.3 IPS |
|
|
Object Detection (HP)
|
97% |
3780
300.9 IPS |
|
|
Object Detection (Q)
|
94% |
2628
209.5 IPS |
|
|
Face Detection (SP)
|
100% |
3836
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
7387
87.8 IPS |
|
|
Face Detection (Q)
|
100% |
4125
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8171
63.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13977
108.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9677
75.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20199
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37181
47.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30431
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5323
196.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7300
269.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5161
190.6 IPS |
|
|
Text Classification (SP)
|
100% |
3392
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5891
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5860
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4227
72.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7291
126.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7341
126.9 IPS |
