iPhone 16 Pro Max
Geekbench AI Score
4345
Single Precision Score
7549
Half Precision Score
6007
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 02:05 PM |
| Views | 2 |
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
366.2 IPS |
|
|
Image Classification (HP)
|
100% |
3386
629.8 IPS |
|
|
Image Classification (Q)
|
96% |
2266
423.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1906
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2923
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3350
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8314
9.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
17001
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14464
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2063
163.6 IPS |
|
|
Object Detection (HP)
|
97% |
3698
294.4 IPS |
|
|
Object Detection (Q)
|
94% |
2619
208.8 IPS |
|
|
Face Detection (SP)
|
100% |
3459
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
7278
86.5 IPS |
|
|
Face Detection (Q)
|
100% |
4054
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7322
56.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13688
105.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9475
74.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22647
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35738
45.9 IPS |
|
|
Style Transfer (Q)
|
96% |
29087
37.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5134
189.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6613
244.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4742
175.1 IPS |
|
|
Text Classification (SP)
|
100% |
3472
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
6026
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5888
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3649
62.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6813
117.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6820
117.9 IPS |
