iPhone 16 Pro Max
Geekbench AI Score
4622
Single Precision Score
7816
Half Precision Score
6226
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 05 2025 06:49 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2041
379.6 IPS |
|
|
Image Classification (HP)
|
100% |
3409
633.9 IPS |
|
|
Image Classification (Q)
|
96% |
2283
426.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1989
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2895
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3348
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9413
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18536
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15548
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2331
184.9 IPS |
|
|
Object Detection (HP)
|
97% |
3718
296.0 IPS |
|
|
Object Detection (Q)
|
94% |
2660
212.0 IPS |
|
|
Face Detection (SP)
|
100% |
3912
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
7422
88.2 IPS |
|
|
Face Detection (Q)
|
100% |
4163
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8203
63.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14317
110.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9931
77.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20424
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37518
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30902
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5448
201.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7357
271.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5165
190.7 IPS |
|
|
Text Classification (SP)
|
100% |
3324
4.44 KIPS |
|
|
Text Classification (HP)
|
100% |
5873
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5826
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4214
72.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7267
125.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7207
124.5 IPS |
