iPhone 16 Pro Max
Geekbench AI Score
3632
Single Precision Score
6247
Half Precision Score
4995
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ebarrera |
| Upload Date | October 01 2025 10:33 PM |
| Views | 8 |
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% |
1645
305.8 IPS |
|
|
Image Classification (HP)
|
100% |
2747
510.9 IPS |
|
|
Image Classification (Q)
|
96% |
1831
342.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1535
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2335
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2637
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8062
9.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
15602
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13288
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1961
155.5 IPS |
|
|
Object Detection (HP)
|
97% |
3011
239.7 IPS |
|
|
Object Detection (Q)
|
94% |
2119
168.9 IPS |
|
|
Face Detection (SP)
|
100% |
2341
27.8 IPS |
|
|
Face Detection (HP)
|
100% |
5542
65.9 IPS |
|
|
Face Detection (Q)
|
100% |
3372
40.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6796
52.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
11198
86.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
7839
61.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19091
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
30809
39.6 IPS |
|
|
Style Transfer (Q)
|
96% |
25232
32.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4800
177.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5819
214.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4116
152.0 IPS |
|
|
Text Classification (SP)
|
100% |
3064
4.09 KIPS |
|
|
Text Classification (HP)
|
99% |
5438
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5364
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2246
38.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4965
85.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4835
83.6 IPS |
