iPhone 16 Pro Max
Geekbench AI Score
4147
Single Precision Score
7280
Half Precision Score
5598
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 04:54 PM |
| Views | 2 |
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% |
2049
381.0 IPS |
|
|
Image Classification (HP)
|
100% |
3366
626.0 IPS |
|
|
Image Classification (Q)
|
96% |
2158
402.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1814
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2847
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3118
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7892
9.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
15359
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13270
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
2126
168.6 IPS |
|
|
Object Detection (HP)
|
97% |
3600
286.6 IPS |
|
|
Object Detection (Q)
|
94% |
2455
195.7 IPS |
|
|
Face Detection (SP)
|
100% |
3567
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
6919
82.2 IPS |
|
|
Face Detection (Q)
|
100% |
3576
42.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7221
55.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
12401
95.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
8528
66.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16402
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33265
42.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26832
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4563
168.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7113
262.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4246
156.8 IPS |
|
|
Text Classification (SP)
|
100% |
3359
4.48 KIPS |
|
|
Text Classification (HP)
|
100% |
5911
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5638
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3732
64.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6577
113.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7049
121.8 IPS |
