iPhone 16 Pro Max
Geekbench AI Score
4468
Single Precision Score
7672
Half Precision Score
6119
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 07:19 PM |
| Views | 1 |
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% |
2020
375.6 IPS |
|
|
Image Classification (HP)
|
100% |
3394
631.2 IPS |
|
|
Image Classification (Q)
|
96% |
2281
425.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1924
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2912
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3379
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8721
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17884
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15136
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2114
167.7 IPS |
|
|
Object Detection (HP)
|
97% |
3749
298.4 IPS |
|
|
Object Detection (Q)
|
94% |
2640
210.4 IPS |
|
|
Face Detection (SP)
|
100% |
3522
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
7372
87.6 IPS |
|
|
Face Detection (Q)
|
100% |
4152
49.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7555
58.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13777
106.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9642
75.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23462
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36942
47.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29781
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5550
204.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6888
254.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4904
181.1 IPS |
|
|
Text Classification (SP)
|
100% |
3413
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5874
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5853
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3750
64.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7024
121.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6991
120.8 IPS |
