iPhone 16 Pro Max
Geekbench AI Score
4344
Single Precision Score
7463
Half Precision Score
5932
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 06:06 PM |
| Views | 7 |
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% |
1971
366.5 IPS |
|
|
Image Classification (HP)
|
100% |
3403
632.9 IPS |
|
|
Image Classification (Q)
|
96% |
2295
428.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1753
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2774
45.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3202
51.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8296
9.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
16600
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14136
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2202
174.7 IPS |
|
|
Object Detection (HP)
|
97% |
3607
287.2 IPS |
|
|
Object Detection (Q)
|
94% |
2545
202.8 IPS |
|
|
Face Detection (SP)
|
100% |
3399
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
6589
78.3 IPS |
|
|
Face Detection (Q)
|
100% |
3818
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7658
59.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13038
100.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9179
71.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20408
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35054
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
28433
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5137
189.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7128
263.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4925
181.8 IPS |
|
|
Text Classification (SP)
|
100% |
3695
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6332
8.45 KIPS |
|
|
Text Classification (Q)
|
93% |
6146
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3764
64.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6978
120.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6770
117.0 IPS |
