iPhone 16 Pro Max
Geekbench AI Score
4553
Single Precision Score
7767
Half Precision Score
6190
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 07 2025 05:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2021
375.8 IPS |
|
|
Image Classification (HP)
|
100% |
3380
628.6 IPS |
|
|
Image Classification (Q)
|
96% |
2279
425.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1950
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2936
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3373
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9069
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18415
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15653
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2163
171.6 IPS |
|
|
Object Detection (HP)
|
97% |
3775
300.5 IPS |
|
|
Object Detection (Q)
|
94% |
2671
212.9 IPS |
|
|
Face Detection (SP)
|
100% |
3574
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
7444
88.4 IPS |
|
|
Face Detection (Q)
|
100% |
4213
50.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7815
60.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14169
109.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9853
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24154
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37586
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30712
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5637
208.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6997
258.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4972
183.6 IPS |
|
|
Text Classification (SP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5916
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5807
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3812
65.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7062
122.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6990
120.8 IPS |
