iPhone 16 Pro Max
Geekbench AI Score
4464
Single Precision Score
7632
Half Precision Score
6127
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 07 2025 06:53 PM |
| Views | 6 |
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% |
1998
371.6 IPS |
|
|
Image Classification (HP)
|
100% |
3470
645.3 IPS |
|
|
Image Classification (Q)
|
96% |
2330
435.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1753
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2799
45.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3277
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8740
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17296
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14818
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2261
179.4 IPS |
|
|
Object Detection (HP)
|
97% |
3714
295.6 IPS |
|
|
Object Detection (Q)
|
94% |
2611
208.1 IPS |
|
|
Face Detection (SP)
|
100% |
3550
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
6826
81.1 IPS |
|
|
Face Detection (Q)
|
100% |
3952
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7792
60.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13427
103.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9359
73.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21063
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36831
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29657
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5269
194.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7083
261.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5097
188.2 IPS |
|
|
Text Classification (SP)
|
100% |
3687
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6092
8.13 KIPS |
|
|
Text Classification (Q)
|
93% |
6087
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4018
69.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7380
127.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7427
128.3 IPS |
