iPhone 16 Pro Max
Geekbench AI Score
5810
Single Precision Score
7022
Half Precision Score
6535
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 01:09 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% |
2900
539.2 IPS |
|
|
Image Classification (HP)
|
100% |
2663
495.2 IPS |
|
|
Image Classification (Q)
|
96% |
3095
577.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4242
68.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4846
78.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4673
75.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14826
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17445
20.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
16676
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2976
236.0 IPS |
|
|
Object Detection (HP)
|
100% |
3672
291.2 IPS |
|
|
Object Detection (Q)
|
92% |
3103
247.7 IPS |
|
|
Face Detection (SP)
|
100% |
7020
83.4 IPS |
|
|
Face Detection (HP)
|
100% |
10314
122.5 IPS |
|
|
Face Detection (Q)
|
100% |
7979
94.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12260
94.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14621
112.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
13578
106.1 IPS |
|
|
Style Transfer (SP)
|
100% |
30343
39.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38497
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
36846
47.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7196
265.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8055
297.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6698
247.3 IPS |
|
|
Text Classification (SP)
|
100% |
3685
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6152
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
6045
8.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1167
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1227
21.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1176
20.3 IPS |
