iPhone 16 Pro Max
Geekbench AI Score
4401
Single Precision Score
7588
Half Precision Score
6022
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | FidanKazan |
| Upload Date | February 02 2025 03:59 PM |
| Views | 6 |
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% |
2002
372.3 IPS |
|
|
Image Classification (HP)
|
100% |
3352
623.3 IPS |
|
|
Image Classification (Q)
|
96% |
2279
425.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1914
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2899
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3351
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8435
9.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
17498
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14442
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2058
163.2 IPS |
|
|
Object Detection (HP)
|
97% |
3776
300.6 IPS |
|
|
Object Detection (Q)
|
94% |
2639
210.3 IPS |
|
|
Face Detection (SP)
|
100% |
3509
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
7343
87.2 IPS |
|
|
Face Detection (Q)
|
100% |
4075
48.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7370
56.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13372
103.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9316
72.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22913
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36091
46.4 IPS |
|
|
Style Transfer (Q)
|
96% |
29149
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5379
198.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6881
254.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4833
178.4 IPS |
|
|
Text Classification (SP)
|
100% |
3414
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5826
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5798
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3768
64.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6940
119.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6953
120.2 IPS |
