iPhone 16 Pro Max
Geekbench AI Score
4462
Single Precision Score
7655
Half Precision Score
6062
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 14 2025 11:03 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2060
383.1 IPS |
|
|
Image Classification (HP)
|
100% |
3351
623.2 IPS |
|
|
Image Classification (Q)
|
96% |
2273
424.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1961
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2848
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3252
52.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8739
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17164
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14660
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2219
176.0 IPS |
|
|
Object Detection (HP)
|
97% |
3751
298.6 IPS |
|
|
Object Detection (Q)
|
94% |
2597
207.0 IPS |
|
|
Face Detection (SP)
|
100% |
3814
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
7232
85.9 IPS |
|
|
Face Detection (Q)
|
100% |
4019
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7899
60.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13811
106.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9420
73.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19022
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35894
46.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29211
37.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5037
186.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7340
271.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5000
184.6 IPS |
|
|
Text Classification (SP)
|
100% |
3390
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
6051
8.08 KIPS |
|
|
Text Classification (Q)
|
93% |
6004
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
4085
70.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7068
122.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7181
124.1 IPS |
