iPhone 16 Pro Max
Geekbench AI Score
5862
Single Precision Score
6927
Half Precision Score
6572
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 07:34 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2970
552.3 IPS |
|
|
Image Classification (HP)
|
100% |
2843
528.7 IPS |
|
|
Image Classification (Q)
|
96% |
3128
584.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4202
68.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4868
78.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4688
76.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14846
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17233
20.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
16605
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
3009
238.7 IPS |
|
|
Object Detection (HP)
|
100% |
3279
260.1 IPS |
|
|
Object Detection (Q)
|
92% |
3106
247.9 IPS |
|
|
Face Detection (SP)
|
100% |
6932
82.4 IPS |
|
|
Face Detection (HP)
|
100% |
10183
121.0 IPS |
|
|
Face Detection (Q)
|
100% |
7818
92.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12689
97.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
14663
113.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
13898
108.6 IPS |
|
|
Style Transfer (SP)
|
100% |
30127
38.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37656
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
38130
49.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7091
261.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7926
292.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6737
248.8 IPS |
|
|
Text Classification (SP)
|
100% |
3651
4.87 KIPS |
|
|
Text Classification (HP)
|
99% |
6069
8.10 KIPS |
|
|
Text Classification (Q)
|
93% |
6029
8.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1254
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1204
20.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1182
20.4 IPS |
