iPhone 16 Pro Max
Geekbench AI Score
4562
Single Precision Score
7706
Half Precision Score
6178
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 23 2025 01:26 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% |
1995
370.9 IPS |
|
|
Image Classification (HP)
|
100% |
3490
649.0 IPS |
|
|
Image Classification (Q)
|
96% |
2329
435.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1769
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2806
45.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3275
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9310
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
17866
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15301
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2287
181.4 IPS |
|
|
Object Detection (HP)
|
97% |
3714
295.7 IPS |
|
|
Object Detection (Q)
|
94% |
2612
208.2 IPS |
|
|
Face Detection (SP)
|
100% |
3587
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
7000
83.2 IPS |
|
|
Face Detection (Q)
|
100% |
4053
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8085
62.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13745
106.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9582
74.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22112
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36869
47.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30363
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5497
203.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7133
263.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5077
187.5 IPS |
|
|
Text Classification (SP)
|
100% |
3692
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6122
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6121
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4001
68.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7336
126.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7255
125.4 IPS |
