iPhone 16 Pro Max
Geekbench AI Score
4556
Single Precision Score
7779
Half Precision Score
6192
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 08:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2010
373.8 IPS |
|
|
Image Classification (HP)
|
100% |
3402
632.7 IPS |
|
|
Image Classification (Q)
|
96% |
2283
426.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1953
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2937
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3375
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9088
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18382
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15471
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2170
172.2 IPS |
|
|
Object Detection (HP)
|
97% |
3818
303.9 IPS |
|
|
Object Detection (Q)
|
94% |
2666
212.5 IPS |
|
|
Face Detection (SP)
|
100% |
3594
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
7480
88.9 IPS |
|
|
Face Detection (Q)
|
100% |
4234
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7763
59.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14237
110.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9844
76.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23861
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37416
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30828
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5688
210.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6910
255.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4962
183.2 IPS |
|
|
Text Classification (SP)
|
100% |
3466
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
6019
8.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5834
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3793
65.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6989
120.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7016
121.3 IPS |
