iPhone 16 Pro Max
Geekbench AI Score
4529
Single Precision Score
7662
Half Precision Score
6150
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 23 2025 10:09 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2015
374.6 IPS |
|
|
Image Classification (HP)
|
100% |
3440
639.8 IPS |
|
|
Image Classification (Q)
|
96% |
2322
433.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1791
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2800
45.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3291
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9080
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17623
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15024
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2296
182.2 IPS |
|
|
Object Detection (HP)
|
97% |
3709
295.3 IPS |
|
|
Object Detection (Q)
|
94% |
2601
207.3 IPS |
|
|
Face Detection (SP)
|
100% |
3561
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
6940
82.5 IPS |
|
|
Face Detection (Q)
|
100% |
4012
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7958
61.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13397
103.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9417
73.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21493
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
36505
46.9 IPS |
|
|
Style Transfer (Q)
|
96% |
29868
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5251
193.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7161
264.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5067
187.1 IPS |
|
|
Text Classification (SP)
|
100% |
3684
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6125
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6257
8.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4100
70.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7440
128.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7248
125.3 IPS |
