iPhone 16 Pro Max
Geekbench AI Score
4552
Single Precision Score
7832
Half Precision Score
6196
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | April 07 2025 03:26 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% |
2037
378.8 IPS |
|
|
Image Classification (HP)
|
100% |
3382
629.0 IPS |
|
|
Image Classification (Q)
|
96% |
2279
425.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2022
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2935
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3360
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8900
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17807
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14983
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2316
183.7 IPS |
|
|
Object Detection (HP)
|
97% |
3767
299.9 IPS |
|
|
Object Detection (Q)
|
94% |
2619
208.8 IPS |
|
|
Face Detection (SP)
|
100% |
3867
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
7375
87.6 IPS |
|
|
Face Detection (Q)
|
100% |
4101
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7862
60.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13876
107.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9479
74.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19619
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37332
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30672
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5209
192.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7417
273.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5151
190.2 IPS |
|
|
Text Classification (SP)
|
100% |
3454
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
6114
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6090
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4197
72.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7536
130.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7423
128.3 IPS |
