iPhone 16 Pro Max
Geekbench AI Score
4454
Single Precision Score
7697
Half Precision Score
6145
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | sixmars |
| Upload Date | January 12 2025 11:35 AM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
2000
371.9 IPS |
|
|
Image Classification (HP)
|
100% |
3375
627.7 IPS |
|
|
Image Classification (Q)
|
96% |
2277
425.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1942
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2941
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3372
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8853
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18062
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15267
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2097
166.3 IPS |
|
|
Object Detection (HP)
|
97% |
3729
296.9 IPS |
|
|
Object Detection (Q)
|
94% |
2623
209.1 IPS |
|
|
Face Detection (SP)
|
100% |
3344
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
7254
86.2 IPS |
|
|
Face Detection (Q)
|
100% |
4155
49.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7582
58.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13792
106.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9578
74.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23466
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37110
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30033
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5456
201.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6912
255.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4953
182.9 IPS |
|
|
Text Classification (SP)
|
100% |
3484
4.65 KIPS |
|
|
Text Classification (HP)
|
100% |
6001
8.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5986
8.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3770
64.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7094
122.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7057
122.0 IPS |
