iPhone 16 Pro Max
Geekbench AI Score
4617
Single Precision Score
7723
Half Precision Score
6216
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Hulkstern |
| Upload Date | August 03 2025 06:20 AM |
| Views | 7 |
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% |
1974
367.1 IPS |
|
|
Image Classification (HP)
|
100% |
3436
639.0 IPS |
|
|
Image Classification (Q)
|
96% |
2309
431.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1810
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2779
45.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3278
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9523
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18412
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15813
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2318
183.8 IPS |
|
|
Object Detection (HP)
|
97% |
3738
297.6 IPS |
|
|
Object Detection (Q)
|
94% |
2651
211.3 IPS |
|
|
Face Detection (SP)
|
100% |
3635
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
6981
82.9 IPS |
|
|
Face Detection (Q)
|
100% |
4066
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8232
63.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13687
105.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9702
75.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22610
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38644
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31227
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5572
205.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7196
265.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5149
190.1 IPS |
|
|
Text Classification (SP)
|
100% |
3620
4.83 KIPS |
|
|
Text Classification (HP)
|
99% |
5988
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5922
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4096
70.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7228
124.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7230
124.9 IPS |
