iPhone 16 Pro Max
Geekbench AI Score
4445
Single Precision Score
7620
Half Precision Score
6068
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | DistortedLoop |
| Upload Date | July 28 2025 05:09 AM |
| Views | 5 |
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% |
2002
372.3 IPS |
|
|
Image Classification (HP)
|
100% |
3467
644.7 IPS |
|
|
Image Classification (Q)
|
96% |
2327
434.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1774
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2789
45.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3283
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8990
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17812
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14608
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2285
181.2 IPS |
|
|
Object Detection (HP)
|
97% |
3688
293.6 IPS |
|
|
Object Detection (Q)
|
94% |
2606
207.7 IPS |
|
|
Face Detection (SP)
|
100% |
3433
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
6805
80.9 IPS |
|
|
Face Detection (Q)
|
100% |
3871
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7689
59.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13400
103.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9357
73.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20714
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37120
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28754
37.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5201
192.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7094
262.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5044
186.3 IPS |
|
|
Text Classification (SP)
|
100% |
3709
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
6250
8.34 KIPS |
|
|
Text Classification (Q)
|
93% |
6201
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3920
67.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6926
119.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7150
123.6 IPS |
