iPhone 15 Pro Max
Geekbench AI Score
3943
Single Precision Score
6833
Half Precision Score
5582
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | October 22 2024 05:45 AM |
| Views | 6 |
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% |
1721
320.1 IPS |
|
|
Image Classification (HP)
|
100% |
2922
543.5 IPS |
|
|
Image Classification (Q)
|
96% |
2012
375.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1614
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2430
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3083
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8030
9.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
16215
18.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14169
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1786
141.7 IPS |
|
|
Object Detection (HP)
|
97% |
3347
266.5 IPS |
|
|
Object Detection (Q)
|
94% |
2349
187.2 IPS |
|
|
Face Detection (SP)
|
100% |
3201
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
6713
79.8 IPS |
|
|
Face Detection (Q)
|
100% |
3863
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7084
54.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13471
104.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9207
72.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20894
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32171
41.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27250
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4852
179.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5797
214.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4441
164.0 IPS |
|
|
Text Classification (SP)
|
100% |
3198
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5675
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5498
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3108
53.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6020
104.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6021
104.1 IPS |
