iPhone 16 Pro Max
Geekbench AI Score
4499
Single Precision Score
7739
Half Precision Score
6172
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | DavidCool1 |
| Upload Date | March 10 2025 11:06 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1985
369.1 IPS |
|
|
Image Classification (HP)
|
100% |
3361
625.0 IPS |
|
|
Image Classification (Q)
|
96% |
2255
421.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1951
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2969
48.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3362
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8229
9.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
17688
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15012
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2132
169.1 IPS |
|
|
Object Detection (HP)
|
97% |
3799
302.5 IPS |
|
|
Object Detection (Q)
|
94% |
2668
212.6 IPS |
|
|
Face Detection (SP)
|
100% |
3592
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
7473
88.8 IPS |
|
|
Face Detection (Q)
|
100% |
4201
49.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7778
59.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14113
109.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9838
76.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23929
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37670
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30721
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5696
210.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6954
256.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4976
183.8 IPS |
|
|
Text Classification (SP)
|
100% |
3433
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5884
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5966
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3833
66.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7078
122.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7015
121.2 IPS |
