iPhone 16 Pro Max
Geekbench AI Score
4675
Single Precision Score
7864
Half Precision Score
6279
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ShungSoh |
| Upload Date | June 01 2025 06:29 PM |
| Views | 10 |
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% |
2068
384.7 IPS |
|
|
Image Classification (HP)
|
100% |
3397
631.7 IPS |
|
|
Image Classification (Q)
|
96% |
2296
428.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1997
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2890
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3349
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9541
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18717
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15616
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2348
186.3 IPS |
|
|
Object Detection (HP)
|
97% |
3813
303.6 IPS |
|
|
Object Detection (Q)
|
94% |
2665
212.4 IPS |
|
|
Face Detection (SP)
|
100% |
3898
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
7594
90.2 IPS |
|
|
Face Detection (Q)
|
100% |
4242
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8304
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14341
110.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10025
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20881
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37746
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31239
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5559
205.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7315
270.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5191
191.7 IPS |
|
|
Text Classification (SP)
|
100% |
3383
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5876
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5866
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4243
73.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7314
126.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7370
127.4 IPS |
