iPhone 16 Pro Max
Geekbench AI Score
6200
Single Precision Score
7068
Half Precision Score
6857
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 21 2025 09:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3062
569.5 IPS |
|
|
Image Classification (HP)
|
100% |
2575
478.8 IPS |
|
|
Image Classification (Q)
|
96% |
3138
585.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4415
71.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4926
79.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4768
77.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15689
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17438
20.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
17218
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
3189
253.0 IPS |
|
|
Object Detection (HP)
|
100% |
3456
274.1 IPS |
|
|
Object Detection (Q)
|
92% |
3196
255.1 IPS |
|
|
Face Detection (SP)
|
100% |
8059
95.8 IPS |
|
|
Face Detection (HP)
|
100% |
11252
133.7 IPS |
|
|
Face Detection (Q)
|
100% |
8915
105.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
14099
108.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14850
114.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
14077
110.0 IPS |
|
|
Style Transfer (SP)
|
100% |
32904
42.3 IPS |
|
|
Style Transfer (HP)
|
100% |
40066
51.5 IPS |
|
|
Style Transfer (Q)
|
96% |
39932
51.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8023
296.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8168
301.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7494
276.7 IPS |
|
|
Text Classification (SP)
|
100% |
3389
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5900
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5905
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1221
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1262
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1259
21.8 IPS |
