iPhone 16 Pro Max
Geekbench AI Score
4642
Single Precision Score
7741
Half Precision Score
6238
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 07 2025 10:29 PM |
| Views | 4 |
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% |
2023
376.3 IPS |
|
|
Image Classification (HP)
|
100% |
3468
644.9 IPS |
|
|
Image Classification (Q)
|
96% |
2327
434.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1836
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2799
45.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3267
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9527
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18445
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15648
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2323
184.3 IPS |
|
|
Object Detection (HP)
|
97% |
3712
295.6 IPS |
|
|
Object Detection (Q)
|
94% |
2628
209.5 IPS |
|
|
Face Detection (SP)
|
100% |
3655
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
6988
83.0 IPS |
|
|
Face Detection (Q)
|
100% |
4073
48.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8209
63.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13774
106.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9723
75.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22622
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37737
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30741
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5544
204.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7156
264.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5149
190.1 IPS |
|
|
Text Classification (SP)
|
100% |
3719
4.96 KIPS |
|
|
Text Classification (HP)
|
99% |
6156
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
6068
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
4042
69.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7273
125.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7513
129.8 IPS |
