iPhone 16 Pro Max
Geekbench AI Score
3351
Single Precision Score
5475
Half Precision Score
4399
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 11 2025 12:09 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1975
367.2 IPS |
|
|
Image Classification (HP)
|
100% |
3441
639.8 IPS |
|
|
Image Classification (Q)
|
96% |
2233
417.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1627
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2626
42.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2811
45.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4346
5.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
12326
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11081
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
2033
161.3 IPS |
|
|
Object Detection (HP)
|
97% |
3267
260.1 IPS |
|
|
Object Detection (Q)
|
94% |
2372
189.1 IPS |
|
|
Face Detection (SP)
|
100% |
3110
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
2807
33.3 IPS |
|
|
Face Detection (Q)
|
100% |
2170
25.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7099
54.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
11222
86.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
8164
63.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14725
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32116
41.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27027
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4888
180.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6529
241.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4125
152.3 IPS |
|
|
Text Classification (SP)
|
100% |
3024
4.04 KIPS |
|
|
Text Classification (HP)
|
99% |
3313
4.42 KIPS |
|
|
Text Classification (Q)
|
93% |
1739
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1309
22.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3043
52.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4797
82.9 IPS |
