iPhone 16 Pro Max
Geekbench AI Score
4448
Single Precision Score
7628
Half Precision Score
6031
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | RAMFlux |
| Upload Date | April 01 2025 10:02 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2070
384.9 IPS |
|
|
Image Classification (HP)
|
100% |
3420
636.0 IPS |
|
|
Image Classification (Q)
|
96% |
2270
424.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1925
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2823
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3263
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8709
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17030
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14685
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2254
178.8 IPS |
|
|
Object Detection (HP)
|
97% |
3746
298.2 IPS |
|
|
Object Detection (Q)
|
94% |
2490
198.5 IPS |
|
|
Face Detection (SP)
|
100% |
3630
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
7310
86.9 IPS |
|
|
Face Detection (Q)
|
100% |
4011
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7788
60.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13452
104.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9416
73.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19053
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35745
46.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29013
37.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5092
188.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7237
267.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5068
187.1 IPS |
|
|
Text Classification (SP)
|
100% |
3365
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5878
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5835
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4201
72.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7251
125.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7264
125.5 IPS |
