iPhone 16 Pro Max
Geekbench AI Score
4511
Single Precision Score
7592
Half Precision Score
6115
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 17 2025 10:33 AM |
| Views | 5 |
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% |
1995
371.0 IPS |
|
|
Image Classification (HP)
|
100% |
3456
642.7 IPS |
|
|
Image Classification (Q)
|
96% |
2323
433.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1773
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2776
45.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3252
52.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9210
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18026
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15228
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2306
182.9 IPS |
|
|
Object Detection (HP)
|
97% |
3690
293.8 IPS |
|
|
Object Detection (Q)
|
94% |
2620
208.8 IPS |
|
|
Face Detection (SP)
|
100% |
3516
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
6432
76.4 IPS |
|
|
Face Detection (Q)
|
100% |
3939
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7903
60.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13572
104.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9518
74.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21247
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36923
47.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30330
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5403
199.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7152
264.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5073
187.3 IPS |
|
|
Text Classification (SP)
|
100% |
3717
4.96 KIPS |
|
|
Text Classification (HP)
|
99% |
6269
8.37 KIPS |
|
|
Text Classification (Q)
|
93% |
6234
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3919
67.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6907
119.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6753
116.7 IPS |
