iPhone 16 Pro Max
Geekbench AI Score
5875
Single Precision Score
6977
Half Precision Score
6525
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 02 2025 06:48 PM |
| Views | 1 |
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% |
2945
547.7 IPS |
|
|
Image Classification (HP)
|
100% |
2884
536.3 IPS |
|
|
Image Classification (Q)
|
96% |
3049
569.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4097
66.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4750
77.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4591
74.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14710
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17286
20.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
16514
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
3240
257.0 IPS |
|
|
Object Detection (HP)
|
100% |
3312
262.7 IPS |
|
|
Object Detection (Q)
|
92% |
3101
247.5 IPS |
|
|
Face Detection (SP)
|
100% |
6851
81.4 IPS |
|
|
Face Detection (HP)
|
100% |
10151
120.6 IPS |
|
|
Face Detection (Q)
|
100% |
7810
92.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12448
95.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14550
112.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
13889
108.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30252
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38079
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
37686
48.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7077
261.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7946
293.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6863
253.4 IPS |
|
|
Text Classification (SP)
|
100% |
3675
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6198
8.27 KIPS |
|
|
Text Classification (Q)
|
93% |
6029
8.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1270
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1260
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1155
20.0 IPS |
