iPhone 16 Pro Max
Geekbench AI Score
4538
Single Precision Score
7725
Half Precision Score
6222
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 03:03 PM |
| Views | 1 |
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
372.6 IPS |
|
|
Image Classification (HP)
|
100% |
3467
644.8 IPS |
|
|
Image Classification (Q)
|
96% |
2326
434.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1810
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2825
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3299
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9150
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17931
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15495
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2317
183.8 IPS |
|
|
Object Detection (HP)
|
97% |
3711
295.5 IPS |
|
|
Object Detection (Q)
|
94% |
2634
210.0 IPS |
|
|
Face Detection (SP)
|
100% |
3591
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
7002
83.2 IPS |
|
|
Face Detection (Q)
|
100% |
4085
48.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8131
62.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13781
106.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9704
75.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20343
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37611
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30865
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5433
200.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7062
260.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5003
184.7 IPS |
|
|
Text Classification (SP)
|
100% |
3702
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6098
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6073
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4039
69.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7430
128.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7471
129.1 IPS |
