iPhone 16 Pro Max
Geekbench AI Score
4357
Single Precision Score
7577
Half Precision Score
6010
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Mckbrian |
| Upload Date | February 14 2025 01:41 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1917
356.5 IPS |
|
|
Image Classification (HP)
|
100% |
3306
614.9 IPS |
|
|
Image Classification (Q)
|
96% |
2250
420.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1882
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2869
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3322
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8068
9.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
17208
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14639
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2082
165.1 IPS |
|
|
Object Detection (HP)
|
97% |
3723
296.4 IPS |
|
|
Object Detection (Q)
|
94% |
2617
208.6 IPS |
|
|
Face Detection (SP)
|
100% |
3283
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
6954
82.6 IPS |
|
|
Face Detection (Q)
|
100% |
3989
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7520
57.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13751
106.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9518
74.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23505
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36366
46.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30182
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5425
200.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7011
258.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4588
169.4 IPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
6047
8.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5878
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3777
65.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6970
120.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6948
120.1 IPS |
