iPhone 15 Pro Max
Geekbench AI Score
3977
Single Precision Score
6853
Half Precision Score
5608
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 25 2024 10:31 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1702
316.5 IPS |
|
|
Image Classification (HP)
|
100% |
2912
541.6 IPS |
|
|
Image Classification (Q)
|
96% |
2014
376.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1626
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2404
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3087
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8304
9.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
16889
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14506
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1785
141.6 IPS |
|
|
Object Detection (HP)
|
97% |
3357
267.3 IPS |
|
|
Object Detection (Q)
|
94% |
2347
187.1 IPS |
|
|
Face Detection (SP)
|
100% |
3168
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6777
80.5 IPS |
|
|
Face Detection (Q)
|
100% |
3887
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7053
54.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
13518
104.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9321
72.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21569
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32747
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27495
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5043
186.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5762
212.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4402
162.5 IPS |
|
|
Text Classification (SP)
|
100% |
3200
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5560
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5512
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3105
53.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5992
103.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6019
104.0 IPS |
