iPhone 15 Pro Max
Geekbench AI Score
3836
Single Precision Score
6706
Half Precision Score
5847
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | ryancrtr |
| Upload Date | August 15 2024 07:43 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone 15 Pro Max |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1656
308.0 IPS |
|
|
Image Classification (HP)
|
100% |
2926
544.2 IPS |
|
|
Image Classification (Q)
|
99% |
2914
543.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1591
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2348
38.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
2359
38.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7498
8.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
15511
18.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
13477
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1707
135.4 IPS |
|
|
Object Detection (HP)
|
97% |
3278
260.9 IPS |
|
|
Object Detection (Q)
|
94% |
2291
182.6 IPS |
|
|
Face Detection (SP)
|
100% |
3135
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
6499
77.2 IPS |
|
|
Face Detection (Q)
|
100% |
3740
44.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6723
51.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13074
101.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
13084
101.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20443
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
31452
40.4 IPS |
|
|
Style Transfer (Q)
|
100% |
31497
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4730
174.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5749
212.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4292
159.0 IPS |
|
|
Text Classification (SP)
|
100% |
3238
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
5666
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5530
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3103
53.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6056
104.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6022
104.1 IPS |
