iPhone 16 Pro Max
Geekbench AI Score
4563
Single Precision Score
7756
Half Precision Score
6176
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 21 2025 08:09 PM |
| Views | 1 |
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% |
2056
382.3 IPS |
|
|
Image Classification (HP)
|
100% |
3379
628.4 IPS |
|
|
Image Classification (Q)
|
96% |
2279
425.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1959
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2838
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3322
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9145
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17955
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14994
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2285
181.3 IPS |
|
|
Object Detection (HP)
|
97% |
3799
302.5 IPS |
|
|
Object Detection (Q)
|
94% |
2642
210.6 IPS |
|
|
Face Detection (SP)
|
100% |
3861
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
7453
88.6 IPS |
|
|
Face Detection (Q)
|
100% |
4142
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8113
62.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13941
107.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9734
76.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20029
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37571
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30535
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5330
196.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7272
268.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5181
191.3 IPS |
|
|
Text Classification (SP)
|
100% |
3372
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5866
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5829
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4130
71.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7239
125.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7244
125.2 IPS |
