iPhone 16 Pro Max
Geekbench AI Score
4570
Single Precision Score
7751
Half Precision Score
6188
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 23 2025 01:55 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2051
381.4 IPS |
|
|
Image Classification (HP)
|
100% |
3386
629.6 IPS |
|
|
Image Classification (Q)
|
96% |
2270
423.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1959
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2858
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3337
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9022
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17671
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15031
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2299
182.3 IPS |
|
|
Object Detection (HP)
|
97% |
3607
287.2 IPS |
|
|
Object Detection (Q)
|
94% |
2623
209.1 IPS |
|
|
Face Detection (SP)
|
100% |
3858
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
7539
89.6 IPS |
|
|
Face Detection (Q)
|
100% |
4205
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8167
62.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14342
110.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9902
77.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20292
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37539
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30452
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5314
196.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7342
271.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5140
189.8 IPS |
|
|
Text Classification (SP)
|
100% |
3372
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5863
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5848
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4168
71.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7266
125.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7237
125.1 IPS |
