iPhone 16 Pro Max
Geekbench AI Score
4326
Single Precision Score
7445
Half Precision Score
5871
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 13 2025 09:24 AM |
| Views | 2 |
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% |
2049
381.0 IPS |
|
|
Image Classification (HP)
|
100% |
3385
629.6 IPS |
|
|
Image Classification (Q)
|
96% |
2260
422.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1929
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2805
45.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3112
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8336
9.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
16416
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13956
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
2187
173.5 IPS |
|
|
Object Detection (HP)
|
97% |
3655
291.0 IPS |
|
|
Object Detection (Q)
|
94% |
2501
199.3 IPS |
|
|
Face Detection (SP)
|
100% |
3649
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
7016
83.4 IPS |
|
|
Face Detection (Q)
|
100% |
3900
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7546
58.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13001
100.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
8885
69.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18130
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34807
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28730
37.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4607
170.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6989
258.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4807
177.5 IPS |
|
|
Text Classification (SP)
|
100% |
3357
4.48 KIPS |
|
|
Text Classification (HP)
|
100% |
5858
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5851
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4133
71.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7066
122.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7089
122.5 IPS |
