iPhone 15 Pro Max
Geekbench AI Score
4919
Single Precision Score
5909
Half Precision Score
4419
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Estudio-Iron |
| Upload Date | August 18 2024 05:36 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1832
340.7 IPS |
|
|
Image Classification (HP)
|
100% |
2260
420.3 IPS |
|
|
Image Classification (Q)
|
99% |
2082
388.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2941
47.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3927
63.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
3936
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15005
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15885
18.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
14548
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2715
215.3 IPS |
|
|
Object Detection (HP)
|
100% |
2771
219.8 IPS |
|
|
Object Detection (Q)
|
91% |
2256
180.2 IPS |
|
|
Face Detection (SP)
|
100% |
6212
73.8 IPS |
|
|
Face Detection (HP)
|
100% |
8829
104.9 IPS |
|
|
Face Detection (Q)
|
100% |
6239
74.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11447
88.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12477
96.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
1844
14.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29227
37.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35688
45.9 IPS |
|
|
Style Transfer (Q)
|
100% |
35827
46.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6326
233.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6517
240.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4998
185.2 IPS |
|
|
Text Classification (SP)
|
100% |
3238
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
5478
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5448
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
888
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
947
16.3 IPS |
|
|
Machine Translation (Q)
|
98% |
942
16.3 IPS |
