iPhone 16 Pro Max
Geekbench AI Score
5949
Single Precision Score
7164
Half Precision Score
6672
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 03:01 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2932
545.2 IPS |
|
|
Image Classification (HP)
|
100% |
2959
550.2 IPS |
|
|
Image Classification (Q)
|
96% |
3110
580.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4292
69.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4884
79.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4716
76.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14939
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17941
20.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
17197
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
3077
244.1 IPS |
|
|
Object Detection (HP)
|
100% |
3698
293.3 IPS |
|
|
Object Detection (Q)
|
92% |
3163
252.5 IPS |
|
|
Face Detection (SP)
|
100% |
6980
82.9 IPS |
|
|
Face Detection (HP)
|
100% |
10457
124.3 IPS |
|
|
Face Detection (Q)
|
100% |
8004
95.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13023
100.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15067
116.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
13895
108.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31290
40.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38980
50.1 IPS |
|
|
Style Transfer (Q)
|
96% |
37608
48.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7379
272.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8134
300.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7020
259.2 IPS |
|
|
Text Classification (SP)
|
100% |
3678
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6140
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6045
8.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1245
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1212
20.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1235
21.3 IPS |
