iPhone 16 Pro Max
Geekbench AI Score
4580
Single Precision Score
7812
Half Precision Score
6194
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | mamiyoshi |
| Upload Date | April 28 2025 02:06 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% |
2074
385.6 IPS |
|
|
Image Classification (HP)
|
100% |
3385
629.5 IPS |
|
|
Image Classification (Q)
|
96% |
2286
426.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1955
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2865
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3318
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9029
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17955
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15178
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2294
182.0 IPS |
|
|
Object Detection (HP)
|
97% |
3782
301.1 IPS |
|
|
Object Detection (Q)
|
94% |
2648
211.1 IPS |
|
|
Face Detection (SP)
|
100% |
3811
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
7342
87.2 IPS |
|
|
Face Detection (Q)
|
100% |
4118
48.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8071
62.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14243
110.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9733
76.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20321
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37764
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30708
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5410
199.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7368
272.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5172
191.0 IPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
6054
8.08 KIPS |
|
|
Text Classification (Q)
|
93% |
5861
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4181
72.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7298
126.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7315
126.4 IPS |
