iPhone 16 Pro Max
Geekbench AI Score
4663
Single Precision Score
7884
Half Precision Score
6272
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | 19jet54 |
| Upload Date | July 19 2025 12:24 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
2066
384.3 IPS |
|
|
Image Classification (HP)
|
100% |
3420
636.1 IPS |
|
|
Image Classification (Q)
|
96% |
2283
426.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2003
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2880
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3348
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9515
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18587
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15710
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2350
186.4 IPS |
|
|
Object Detection (HP)
|
97% |
3819
304.0 IPS |
|
|
Object Detection (Q)
|
94% |
2667
212.6 IPS |
|
|
Face Detection (SP)
|
100% |
3926
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
7504
89.2 IPS |
|
|
Face Detection (Q)
|
100% |
4234
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8260
63.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14273
110.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9994
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20512
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37954
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31085
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5446
201.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7360
271.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5146
190.0 IPS |
|
|
Text Classification (SP)
|
100% |
3391
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
6020
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5895
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
4285
73.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7368
127.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7372
127.4 IPS |
