iPhone 16 Pro Max
Geekbench AI Score
4673
Single Precision Score
33095
Half Precision Score
44448
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Oleksandr |
| Upload Date | November 18 2025 01:50 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1998
371.6 IPS |
|
|
Image Classification (HP)
|
100% |
13586
2.53 KIPS |
|
|
Image Classification (Q)
|
97% |
17499
3.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1835
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18137
294.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23637
383.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9596
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
151984
177.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
291291
341.4 IPS |
|
|
Object Detection (SP)
|
100% |
2375
188.4 IPS |
|
|
Object Detection (HP)
|
100% |
15584
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21352
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
3668
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
39763
472.5 IPS |
|
|
Face Detection (Q)
|
100% |
53020
630.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8313
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
94429
727.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
151448
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
22941
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
244947
314.9 IPS |
|
|
Style Transfer (Q)
|
96% |
295816
381.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5574
205.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52468
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80051
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
3706
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
6116
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6106
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
4113
70.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9152
157.7 IPS |
|
|
Machine Translation (Q)
|
98% |
10078
174.2 IPS |
