iPhone 16 Pro Max
Geekbench AI Score
4567
Single Precision Score
7744
Half Precision Score
6192
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | January 31 2025 12:47 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1962
364.8 IPS |
|
|
Image Classification (HP)
|
100% |
3344
621.8 IPS |
|
|
Image Classification (Q)
|
96% |
2272
424.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1916
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2917
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3368
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9165
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18399
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15330
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2175
172.5 IPS |
|
|
Object Detection (HP)
|
97% |
3818
303.9 IPS |
|
|
Object Detection (Q)
|
94% |
2675
213.2 IPS |
|
|
Face Detection (SP)
|
100% |
3641
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
7518
89.3 IPS |
|
|
Face Detection (Q)
|
100% |
4269
50.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7943
61.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14344
110.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9995
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24553
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37840
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31227
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5783
213.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6963
257.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4964
183.3 IPS |
|
|
Text Classification (SP)
|
100% |
3398
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
5684
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5658
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3781
65.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7013
121.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7057
121.9 IPS |
