iPhone 16 Pro Max
Geekbench AI Score
4047
Single Precision Score
6905
Half Precision Score
5438
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 03 2025 07:21 PM |
| Views | 2 |
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% |
1865
346.8 IPS |
|
|
Image Classification (HP)
|
100% |
3251
604.6 IPS |
|
|
Image Classification (Q)
|
96% |
1673
312.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1661
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2396
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2863
46.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7349
8.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
14581
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12442
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
2053
162.8 IPS |
|
|
Object Detection (HP)
|
97% |
2979
237.1 IPS |
|
|
Object Detection (Q)
|
94% |
2324
185.3 IPS |
|
|
Face Detection (SP)
|
100% |
3283
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
6089
72.4 IPS |
|
|
Face Detection (Q)
|
100% |
3643
43.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7013
54.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
12753
98.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
8511
66.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16886
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32523
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26281
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4551
168.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6942
256.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4669
172.4 IPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5864
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
6005
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
4172
71.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7086
122.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7150
123.6 IPS |
