iPhone 16 Pro Max
Geekbench AI Score
4436
Single Precision Score
7645
Half Precision Score
6088
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Lee449409 |
| Upload Date | January 25 2025 01:38 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
2022
376.1 IPS |
|
|
Image Classification (HP)
|
100% |
3369
626.5 IPS |
|
|
Image Classification (Q)
|
96% |
2276
425.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1938
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2900
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3372
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8586
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17645
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14842
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2113
167.6 IPS |
|
|
Object Detection (HP)
|
97% |
3800
302.5 IPS |
|
|
Object Detection (Q)
|
94% |
2650
211.2 IPS |
|
|
Face Detection (SP)
|
100% |
3506
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
7327
87.1 IPS |
|
|
Face Detection (Q)
|
100% |
4105
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7460
57.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13819
106.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9563
74.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23120
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36154
46.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29534
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5367
198.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6920
255.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4887
180.4 IPS |
|
|
Text Classification (SP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5876
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5838
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3741
64.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6994
120.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7010
121.1 IPS |
