iPhone 16 Pro Max
Geekbench AI Score
4426
Single Precision Score
7483
Half Precision Score
5982
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 08:35 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2019
375.4 IPS |
|
|
Image Classification (HP)
|
100% |
3441
640.0 IPS |
|
|
Image Classification (Q)
|
96% |
2315
432.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1796
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2771
44.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3279
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8520
9.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
16896
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13914
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
2218
176.0 IPS |
|
|
Object Detection (HP)
|
97% |
3554
283.0 IPS |
|
|
Object Detection (Q)
|
94% |
2570
204.9 IPS |
|
|
Face Detection (SP)
|
100% |
3530
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
6823
81.1 IPS |
|
|
Face Detection (Q)
|
100% |
3863
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7616
58.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13260
102.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9190
71.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20566
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34074
43.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28139
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5128
189.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7092
261.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5002
184.7 IPS |
|
|
Text Classification (SP)
|
100% |
3683
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6115
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6081
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
4039
69.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7196
124.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7125
123.1 IPS |
