iPhone 16 Pro Max
Geekbench AI Score
4625
Single Precision Score
7766
Half Precision Score
6258
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 28 2025 05:19 PM |
| Views | 1 |
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% |
2019
375.6 IPS |
|
|
Image Classification (HP)
|
100% |
3411
634.4 IPS |
|
|
Image Classification (Q)
|
96% |
2327
434.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1794
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2807
45.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3288
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9461
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18274
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15707
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2334
185.1 IPS |
|
|
Object Detection (HP)
|
97% |
3755
298.9 IPS |
|
|
Object Detection (Q)
|
94% |
2640
210.4 IPS |
|
|
Face Detection (SP)
|
100% |
3646
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
7021
83.4 IPS |
|
|
Face Detection (Q)
|
100% |
4078
48.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8248
63.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13745
106.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9731
76.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22547
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38137
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31180
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5509
203.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7190
265.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5129
189.4 IPS |
|
|
Text Classification (SP)
|
100% |
3687
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6155
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
6149
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
4069
70.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7461
128.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7441
128.6 IPS |
