iPhone 16 Pro Max
Geekbench AI Score
4360
Single Precision Score
7639
Half Precision Score
6085
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ilsun1018 |
| Upload Date | December 22 2024 07:11 AM |
| Views | 3 |
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% |
1988
369.7 IPS |
|
|
Image Classification (HP)
|
100% |
3393
630.9 IPS |
|
|
Image Classification (Q)
|
96% |
2284
426.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1800
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2919
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3355
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8498
9.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
17552
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14941
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2039
161.7 IPS |
|
|
Object Detection (HP)
|
97% |
3758
299.2 IPS |
|
|
Object Detection (Q)
|
94% |
2635
210.0 IPS |
|
|
Face Detection (SP)
|
100% |
3413
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
7183
85.3 IPS |
|
|
Face Detection (Q)
|
100% |
4121
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7501
57.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13914
107.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9574
74.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23249
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36877
47.4 IPS |
|
|
Style Transfer (Q)
|
96% |
29564
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5290
195.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6876
253.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4909
181.3 IPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5904
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5834
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3720
64.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6928
119.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6912
119.4 IPS |
