iPhone 16 Pro Max
Geekbench AI Score
4032
Single Precision Score
7047
Half Precision Score
5639
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 22 2025 05:03 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1816
337.6 IPS |
|
|
Image Classification (HP)
|
100% |
3312
615.9 IPS |
|
|
Image Classification (Q)
|
96% |
2190
409.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1619
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2473
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2815
45.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6434
7.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
11930
13.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11878
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1935
153.5 IPS |
|
|
Object Detection (HP)
|
97% |
3406
271.2 IPS |
|
|
Object Detection (Q)
|
94% |
2299
183.2 IPS |
|
|
Face Detection (SP)
|
100% |
3487
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
6923
82.3 IPS |
|
|
Face Detection (Q)
|
100% |
3765
44.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7386
56.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
12906
99.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
8881
69.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18020
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34578
44.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28368
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4656
171.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7193
265.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4839
178.7 IPS |
|
|
Text Classification (SP)
|
100% |
3445
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
5879
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5902
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4175
71.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6955
120.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7132
123.3 IPS |
