iPhone 15 Pro Max
Geekbench AI Score
3894
Single Precision Score
6777
Half Precision Score
5546
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Airfox |
| Upload Date | November 14 2024 08:13 PM |
| Views | 8 |
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% |
1702
316.5 IPS |
|
|
Image Classification (HP)
|
100% |
2905
540.2 IPS |
|
|
Image Classification (Q)
|
96% |
2013
375.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1604
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2378
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3034
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7807
9.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
15956
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13994
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1787
141.8 IPS |
|
|
Object Detection (HP)
|
97% |
3340
265.9 IPS |
|
|
Object Detection (Q)
|
94% |
2341
186.6 IPS |
|
|
Face Detection (SP)
|
100% |
3156
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6738
80.1 IPS |
|
|
Face Detection (Q)
|
100% |
3842
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6962
53.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13319
103.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9185
71.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20498
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
31927
41.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27165
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4746
175.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5670
209.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4362
161.1 IPS |
|
|
Text Classification (SP)
|
100% |
3197
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5701
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5498
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3087
53.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5995
103.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5987
103.5 IPS |
