iPhone 16 Pro Max
Geekbench AI Score
4416
Single Precision Score
7626
Half Precision Score
6049
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 31 2024 06:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2022
376.1 IPS |
|
|
Image Classification (HP)
|
100% |
3379
628.3 IPS |
|
|
Image Classification (Q)
|
96% |
2272
424.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1936
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2921
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3367
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8649
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17675
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15084
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2115
167.8 IPS |
|
|
Object Detection (HP)
|
97% |
3775
300.5 IPS |
|
|
Object Detection (Q)
|
94% |
2631
209.7 IPS |
|
|
Face Detection (SP)
|
100% |
3519
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
7382
87.7 IPS |
|
|
Face Detection (Q)
|
100% |
4041
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7301
56.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13707
106.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9471
73.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22913
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36813
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29541
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5353
197.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6890
254.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4908
181.2 IPS |
|
|
Text Classification (SP)
|
100% |
3354
4.48 KIPS |
|
|
Text Classification (HP)
|
100% |
5659
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5603
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3732
64.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6961
120.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6949
120.1 IPS |
