iPhone 16 Pro Max
Geekbench AI Score
4398
Single Precision Score
7606
Half Precision Score
6060
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 30 2025 11:00 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% |
1969
366.1 IPS |
|
|
Image Classification (HP)
|
100% |
3383
629.1 IPS |
|
|
Image Classification (Q)
|
96% |
2275
424.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1880
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2881
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3334
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8344
9.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
17438
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14489
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2092
166.0 IPS |
|
|
Object Detection (HP)
|
97% |
3758
299.2 IPS |
|
|
Object Detection (Q)
|
94% |
2613
208.3 IPS |
|
|
Face Detection (SP)
|
100% |
3505
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
7311
86.9 IPS |
|
|
Face Detection (Q)
|
100% |
4116
48.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7444
57.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13872
107.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9401
73.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23131
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36077
46.4 IPS |
|
|
Style Transfer (Q)
|
96% |
29787
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5437
200.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6863
253.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4891
180.6 IPS |
|
|
Text Classification (SP)
|
100% |
3412
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5828
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5951
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3749
64.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6936
119.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6938
119.9 IPS |
