iPhone 16 Pro Max
Geekbench AI Score
4454
Single Precision Score
7580
Half Precision Score
6062
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 30 2025 02:03 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2017
375.0 IPS |
|
|
Image Classification (HP)
|
100% |
3442
640.1 IPS |
|
|
Image Classification (Q)
|
96% |
2313
432.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1746
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2822
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3226
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8622
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16920
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14599
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2251
178.6 IPS |
|
|
Object Detection (HP)
|
97% |
3662
291.6 IPS |
|
|
Object Detection (Q)
|
94% |
2578
205.5 IPS |
|
|
Face Detection (SP)
|
100% |
3544
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
6786
80.6 IPS |
|
|
Face Detection (Q)
|
100% |
3952
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7885
60.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13507
104.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9412
73.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21028
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35941
46.2 IPS |
|
|
Style Transfer (Q)
|
96% |
28647
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5208
192.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7085
261.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5080
187.6 IPS |
|
|
Text Classification (SP)
|
100% |
3669
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
6133
8.19 KIPS |
|
|
Text Classification (Q)
|
93% |
6102
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
4011
69.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7270
125.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7226
124.9 IPS |
