iPhone 16 Pro Max
Geekbench AI Score
4624
Single Precision Score
33127
Half Precision Score
44570
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | fridriksa |
| Upload Date | October 21 2025 05:22 PM |
| Views | 2 |
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% |
2017
375.1 IPS |
|
|
Image Classification (HP)
|
100% |
14148
2.63 KIPS |
|
|
Image Classification (Q)
|
97% |
18541
3.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1751
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18115
293.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23690
384.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9324
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
151883
177.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
290373
340.3 IPS |
|
|
Object Detection (SP)
|
100% |
2363
187.4 IPS |
|
|
Object Detection (HP)
|
100% |
15543
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21054
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
3641
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
39834
473.3 IPS |
|
|
Face Detection (Q)
|
100% |
53189
632.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8244
63.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
94165
725.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
149753
1.17 KIPS |
|
|
Style Transfer (SP)
|
100% |
22826
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
244522
314.3 IPS |
|
|
Style Transfer (Q)
|
96% |
295043
380.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5612
207.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50740
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78802
2.91 KIPS |
|
|
Text Classification (SP)
|
100% |
3689
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6252
8.35 KIPS |
|
|
Text Classification (Q)
|
93% |
6174
8.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4050
69.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9043
155.8 IPS |
|
|
Machine Translation (Q)
|
98% |
10076
174.1 IPS |
