iPhone 16 Pro Max
Geekbench AI Score
4540
Single Precision Score
7705
Half Precision Score
6165
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Ksyrium |
| Upload Date | August 18 2025 06:31 PM |
| Views | 10 |
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% |
2018
375.2 IPS |
|
|
Image Classification (HP)
|
100% |
3427
637.2 IPS |
|
|
Image Classification (Q)
|
96% |
2327
434.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1772
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2795
45.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3277
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9044
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17682
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15178
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2279
180.8 IPS |
|
|
Object Detection (HP)
|
97% |
3750
298.6 IPS |
|
|
Object Detection (Q)
|
94% |
2635
210.0 IPS |
|
|
Face Detection (SP)
|
100% |
3583
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
6941
82.5 IPS |
|
|
Face Detection (Q)
|
100% |
4064
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8009
61.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13662
105.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9481
74.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21596
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38403
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
29821
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5471
202.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7138
263.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5142
189.9 IPS |
|
|
Text Classification (SP)
|
100% |
3690
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6202
8.28 KIPS |
|
|
Text Classification (Q)
|
93% |
6156
8.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
4036
69.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7204
124.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7150
123.6 IPS |
