iPhone 16 Pro Max
Geekbench AI Score
4573
Single Precision Score
7790
Half Precision Score
6198
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | December 18 2024 08:44 AM |
| Views | 5 |
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% |
2001
372.2 IPS |
|
|
Image Classification (HP)
|
100% |
3407
633.6 IPS |
|
|
Image Classification (Q)
|
96% |
2274
424.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2000
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3044
49.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3395
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9068
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18386
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15624
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2170
172.1 IPS |
|
|
Object Detection (HP)
|
97% |
3820
304.1 IPS |
|
|
Object Detection (Q)
|
94% |
2664
212.3 IPS |
|
|
Face Detection (SP)
|
100% |
3644
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
7447
88.5 IPS |
|
|
Face Detection (Q)
|
100% |
4234
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7841
60.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14203
109.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9864
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24204
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37595
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30542
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5694
210.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6902
254.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4955
183.0 IPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5833
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5836
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3776
65.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7060
122.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7066
122.1 IPS |
