iPhone 16 Pro Max
Geekbench AI Score
4623
Single Precision Score
7842
Half Precision Score
6255
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | foolsmac |
| Upload Date | July 08 2025 01:10 AM |
| Views | 12 |
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% |
2061
383.3 IPS |
|
|
Image Classification (HP)
|
100% |
3381
628.7 IPS |
|
|
Image Classification (Q)
|
96% |
2261
422.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1974
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2875
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3338
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9463
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18727
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15612
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2322
184.2 IPS |
|
|
Object Detection (HP)
|
97% |
3761
299.4 IPS |
|
|
Object Detection (Q)
|
94% |
2645
210.8 IPS |
|
|
Face Detection (SP)
|
100% |
3809
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
7422
88.2 IPS |
|
|
Face Detection (Q)
|
100% |
4197
49.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8182
63.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14186
109.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9925
77.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20676
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37724
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30909
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5486
202.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7360
271.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5132
189.5 IPS |
|
|
Text Classification (SP)
|
100% |
3410
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
6010
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
6083
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
4146
71.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7319
126.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7327
126.6 IPS |
