iPhone 16 Pro Max
Geekbench AI Score
5726
Single Precision Score
6790
Half Precision Score
6705
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 10:39 AM |
| Views | 2 |
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% |
2663
495.1 IPS |
|
|
Image Classification (HP)
|
100% |
2118
393.9 IPS |
|
|
Image Classification (Q)
|
96% |
3107
580.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4109
66.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4749
77.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4658
75.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14723
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17622
20.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
17119
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
2877
228.2 IPS |
|
|
Object Detection (HP)
|
100% |
3237
256.8 IPS |
|
|
Object Detection (Q)
|
92% |
3365
268.6 IPS |
|
|
Face Detection (SP)
|
100% |
6426
76.4 IPS |
|
|
Face Detection (HP)
|
100% |
10035
119.2 IPS |
|
|
Face Detection (Q)
|
100% |
8027
95.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13059
100.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
15561
119.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
14454
112.9 IPS |
|
|
Style Transfer (SP)
|
100% |
31087
40.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39598
50.9 IPS |
|
|
Style Transfer (Q)
|
96% |
38841
50.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7357
271.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8038
296.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6887
254.3 IPS |
|
|
Text Classification (SP)
|
100% |
3683
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6282
8.38 KIPS |
|
|
Text Classification (Q)
|
93% |
6164
8.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1157
19.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1164
20.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1152
19.9 IPS |
