iPhone 16 Pro Max
Geekbench AI Score
4429
Single Precision Score
7548
Half Precision Score
6016
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 18 2025 08:04 PM |
| Views | 2 |
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% |
1997
371.3 IPS |
|
|
Image Classification (HP)
|
100% |
3438
639.3 IPS |
|
|
Image Classification (Q)
|
96% |
2326
434.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1750
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2765
44.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3184
51.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8498
9.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
16896
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14167
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2255
178.8 IPS |
|
|
Object Detection (HP)
|
97% |
3635
289.4 IPS |
|
|
Object Detection (Q)
|
94% |
2527
201.4 IPS |
|
|
Face Detection (SP)
|
100% |
3548
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
6786
80.6 IPS |
|
|
Face Detection (Q)
|
100% |
3904
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7785
60.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13338
103.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9267
72.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20463
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35643
45.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28779
37.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5171
190.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7149
264.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5013
185.1 IPS |
|
|
Text Classification (SP)
|
100% |
3709
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
6289
8.39 KIPS |
|
|
Text Classification (Q)
|
93% |
6279
8.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4007
69.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7096
122.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7151
123.6 IPS |
