iPhone 16 Pro Max
Geekbench AI Score
4351
Single Precision Score
7543
Half Precision Score
5999
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Medikanal |
| Upload Date | December 22 2024 09:09 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| Model | iPhone 16 Pro Max |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1985
369.1 IPS |
|
|
Image Classification (HP)
|
100% |
3365
625.7 IPS |
|
|
Image Classification (Q)
|
96% |
2278
425.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1865
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2879
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3283
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8373
9.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
17041
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14283
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2034
161.3 IPS |
|
|
Object Detection (HP)
|
97% |
3762
299.5 IPS |
|
|
Object Detection (Q)
|
94% |
2618
208.7 IPS |
|
|
Face Detection (SP)
|
100% |
3458
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
7247
86.1 IPS |
|
|
Face Detection (Q)
|
100% |
4008
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7370
56.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13466
104.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9416
73.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22244
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35800
46.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29160
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5286
195.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6812
251.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4828
178.3 IPS |
|
|
Text Classification (SP)
|
100% |
3433
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5863
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5865
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3749
64.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6881
118.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6931
119.8 IPS |
