iPhone 16 Pro Max
Geekbench AI Score
5860
Single Precision Score
7012
Half Precision Score
6657
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 18 2025 08:12 PM |
| 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% |
2859
531.7 IPS |
|
|
Image Classification (HP)
|
100% |
2776
516.2 IPS |
|
|
Image Classification (Q)
|
96% |
2992
558.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4256
69.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4900
79.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4711
76.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14917
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17922
20.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
17220
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
2989
237.1 IPS |
|
|
Object Detection (HP)
|
100% |
3309
262.4 IPS |
|
|
Object Detection (Q)
|
92% |
3156
251.9 IPS |
|
|
Face Detection (SP)
|
100% |
6903
82.0 IPS |
|
|
Face Detection (HP)
|
100% |
10299
122.4 IPS |
|
|
Face Detection (Q)
|
100% |
8111
96.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12735
98.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14776
113.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
13919
108.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30629
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38919
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
38450
49.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7238
267.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8064
297.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6942
256.3 IPS |
|
|
Text Classification (SP)
|
100% |
3681
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6205
8.28 KIPS |
|
|
Text Classification (Q)
|
93% |
6131
8.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1228
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1203
20.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1209
20.9 IPS |
