iPhone 16 Pro Max
Geekbench AI Score
4505
Single Precision Score
7605
Half Precision Score
6078
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 23 2025 02:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2030
377.6 IPS |
|
|
Image Classification (HP)
|
100% |
3423
636.6 IPS |
|
|
Image Classification (Q)
|
96% |
2313
432.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1778
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2875
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3269
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8836
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17589
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14963
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2286
181.4 IPS |
|
|
Object Detection (HP)
|
97% |
3683
293.2 IPS |
|
|
Object Detection (Q)
|
94% |
2586
206.1 IPS |
|
|
Face Detection (SP)
|
100% |
3497
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
6742
80.1 IPS |
|
|
Face Detection (Q)
|
100% |
3895
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7896
60.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13209
102.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9294
72.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21085
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36197
46.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29253
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5357
197.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7108
262.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5027
185.6 IPS |
|
|
Text Classification (SP)
|
100% |
3684
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6109
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6096
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
4113
70.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7261
125.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7256
125.4 IPS |
