iPhone 16 Pro Max
Geekbench AI Score
4454
Single Precision Score
7549
Half Precision Score
6067
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | WFkhwj |
| Upload Date | December 02 2025 11:35 AM |
| Views | 31 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2003
372.5 IPS |
|
|
Image Classification (HP)
|
100% |
3460
643.5 IPS |
|
|
Image Classification (Q)
|
96% |
2330
435.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1770
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2778
45.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3261
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8835
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16979
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14652
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2237
177.5 IPS |
|
|
Object Detection (HP)
|
97% |
3688
293.6 IPS |
|
|
Object Detection (Q)
|
94% |
2581
205.7 IPS |
|
|
Face Detection (SP)
|
100% |
3525
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
6690
79.5 IPS |
|
|
Face Detection (Q)
|
100% |
3908
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7834
60.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13344
103.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9331
72.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20669
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
36315
46.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29294
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5219
192.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7111
262.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5067
187.1 IPS |
|
|
Text Classification (SP)
|
100% |
3723
4.97 KIPS |
|
|
Text Classification (HP)
|
99% |
6134
8.19 KIPS |
|
|
Text Classification (Q)
|
93% |
6055
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3954
68.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7062
122.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7175
124.0 IPS |
