iPhone 16 Pro Max
Geekbench AI Score
5953
Single Precision Score
7080
Half Precision Score
6605
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 02:39 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2901
539.4 IPS |
|
|
Image Classification (HP)
|
100% |
2628
488.7 IPS |
|
|
Image Classification (Q)
|
96% |
3121
582.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4288
69.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4889
79.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4724
76.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14968
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17670
20.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
17006
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
3071
243.6 IPS |
|
|
Object Detection (HP)
|
100% |
3677
291.6 IPS |
|
|
Object Detection (Q)
|
92% |
3168
252.9 IPS |
|
|
Face Detection (SP)
|
100% |
7198
85.5 IPS |
|
|
Face Detection (HP)
|
100% |
10325
122.7 IPS |
|
|
Face Detection (Q)
|
100% |
8040
95.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13027
100.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15010
115.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
14136
110.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30795
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38519
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
34430
44.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7186
265.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8148
300.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6938
256.2 IPS |
|
|
Text Classification (SP)
|
100% |
3672
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
6147
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
6042
8.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1283
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1268
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1214
21.0 IPS |
