iPhone 16 Pro Max
Geekbench AI Score
6130
Single Precision Score
7120
Half Precision Score
6839
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 05 2025 07:20 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2998
557.5 IPS |
|
|
Image Classification (HP)
|
100% |
3065
570.0 IPS |
|
|
Image Classification (Q)
|
96% |
3140
586.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4409
71.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4915
79.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4735
76.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15711
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17098
20.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
16925
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
3356
266.2 IPS |
|
|
Object Detection (HP)
|
100% |
3474
275.5 IPS |
|
|
Object Detection (Q)
|
92% |
3411
272.3 IPS |
|
|
Face Detection (SP)
|
100% |
7651
90.9 IPS |
|
|
Face Detection (HP)
|
100% |
10719
127.4 IPS |
|
|
Face Detection (Q)
|
100% |
8542
101.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13555
104.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14833
114.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
13928
108.8 IPS |
|
|
Style Transfer (SP)
|
100% |
32595
41.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38318
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
38204
49.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8006
295.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8230
303.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7608
280.9 IPS |
|
|
Text Classification (SP)
|
100% |
3376
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5912
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5863
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1177
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1264
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1288
22.3 IPS |
