iPhone 16 Pro Max
Geekbench AI Score
4349
Single Precision Score
7533
Half Precision Score
5964
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 02 2025 07:30 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1966
365.7 IPS |
|
|
Image Classification (HP)
|
100% |
3375
627.6 IPS |
|
|
Image Classification (Q)
|
96% |
2282
426.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1927
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2905
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3353
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8348
9.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
16805
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14275
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2028
160.8 IPS |
|
|
Object Detection (HP)
|
97% |
3737
297.5 IPS |
|
|
Object Detection (Q)
|
94% |
2588
206.3 IPS |
|
|
Face Detection (SP)
|
100% |
3466
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
7239
86.0 IPS |
|
|
Face Detection (Q)
|
100% |
3997
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7286
56.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13228
102.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9250
72.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22642
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35746
46.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29014
37.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5166
190.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6852
253.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4699
173.5 IPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5885
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5843
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3734
64.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6924
119.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6844
118.3 IPS |
