iPhone 16 Pro Max
Geekbench AI Score
4430
Single Precision Score
7639
Half Precision Score
6062
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 20 2025 01:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2020
375.6 IPS |
|
|
Image Classification (HP)
|
100% |
3396
631.6 IPS |
|
|
Image Classification (Q)
|
96% |
2276
425.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1885
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2816
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3284
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8388
9.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
16797
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14406
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2267
179.8 IPS |
|
|
Object Detection (HP)
|
97% |
3705
295.0 IPS |
|
|
Object Detection (Q)
|
94% |
2582
205.8 IPS |
|
|
Face Detection (SP)
|
100% |
3786
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
7340
87.2 IPS |
|
|
Face Detection (Q)
|
100% |
4003
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7773
59.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13466
104.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9251
72.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19093
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35770
46.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29467
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5048
186.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7259
268.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5014
185.2 IPS |
|
|
Text Classification (SP)
|
100% |
3423
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
6097
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6068
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
4148
71.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7272
125.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7265
125.6 IPS |
