iPhone 15 Pro Max
Geekbench AI Score
5056
Single Precision Score
5973
Half Precision Score
5325
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 13 2024 10:00 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1996
371.1 IPS |
|
|
Image Classification (HP)
|
100% |
2180
405.3 IPS |
|
|
Image Classification (Q)
|
97% |
1892
353.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3009
48.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3969
64.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4016
65.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15124
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15998
18.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15020
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2759
218.9 IPS |
|
|
Object Detection (HP)
|
100% |
3002
238.1 IPS |
|
|
Object Detection (Q)
|
91% |
2446
195.4 IPS |
|
|
Face Detection (SP)
|
100% |
6687
79.5 IPS |
|
|
Face Detection (HP)
|
100% |
9022
107.2 IPS |
|
|
Face Detection (Q)
|
100% |
6188
73.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11521
88.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
13029
100.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
10836
84.7 IPS |
|
|
Style Transfer (SP)
|
100% |
29990
38.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32732
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33849
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6472
239.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6737
248.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5455
201.4 IPS |
|
|
Text Classification (SP)
|
100% |
3196
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5626
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5653
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
912
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
955
16.4 IPS |
|
|
Machine Translation (Q)
|
98% |
940
16.2 IPS |
