iPhone 16 Pro Max
Geekbench AI Score
4642
Single Precision Score
7794
Half Precision Score
6236
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 23 2024 11:18 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2004
372.7 IPS |
|
|
Image Classification (HP)
|
100% |
3372
627.0 IPS |
|
|
Image Classification (Q)
|
96% |
2268
423.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1947
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2931
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3378
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9764
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19170
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16300
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2198
174.3 IPS |
|
|
Object Detection (HP)
|
97% |
3831
305.0 IPS |
|
|
Object Detection (Q)
|
94% |
2695
214.8 IPS |
|
|
Face Detection (SP)
|
100% |
3660
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
7587
90.2 IPS |
|
|
Face Detection (Q)
|
100% |
4272
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8097
62.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14549
112.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10128
79.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24939
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37933
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31200
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5910
218.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6949
256.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4990
184.3 IPS |
|
|
Text Classification (SP)
|
100% |
3375
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5653
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5617
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3767
64.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6930
119.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6984
120.7 IPS |
