iPhone 16 Pro Max
Geekbench AI Score
4462
Single Precision Score
7576
Half Precision Score
6046
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 13 2025 12:21 AM |
| Views | 5 |
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% |
2003
372.5 IPS |
|
|
Image Classification (HP)
|
100% |
3442
640.1 IPS |
|
|
Image Classification (Q)
|
96% |
2296
428.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1729
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2778
45.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3228
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8696
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17246
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14617
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2247
178.2 IPS |
|
|
Object Detection (HP)
|
97% |
3673
292.4 IPS |
|
|
Object Detection (Q)
|
94% |
2596
206.9 IPS |
|
|
Face Detection (SP)
|
100% |
3507
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
6783
80.6 IPS |
|
|
Face Detection (Q)
|
100% |
3871
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7863
60.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13499
104.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9345
72.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21290
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35553
45.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29195
37.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5256
194.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7143
263.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4949
182.7 IPS |
|
|
Text Classification (SP)
|
100% |
3689
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6163
8.23 KIPS |
|
|
Text Classification (Q)
|
93% |
6095
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
4063
70.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7178
124.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7288
125.9 IPS |
