iPhone 16 Pro Max
Geekbench AI Score
1993
Single Precision Score
3342
Half Precision Score
2625
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 04 2025 02:52 AM |
| Views | 1 |
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% |
881
163.9 IPS |
|
|
Image Classification (HP)
|
100% |
1351
251.2 IPS |
|
|
Image Classification (Q)
|
96% |
915
170.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
869
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1279
20.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1373
22.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3981
4.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
8005
9.34 IPS |
|
|
Pose Estimation (Q)
|
95% |
6857
8.04 IPS |
|
|
Object Detection (SP)
|
100% |
974
77.2 IPS |
|
|
Object Detection (HP)
|
97% |
1636
130.2 IPS |
|
|
Object Detection (Q)
|
94% |
1136
90.5 IPS |
|
|
Face Detection (SP)
|
100% |
1655
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
3243
38.5 IPS |
|
|
Face Detection (Q)
|
100% |
1679
19.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3577
27.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
6200
47.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
4274
33.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10099
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
15867
20.4 IPS |
|
|
Style Transfer (Q)
|
96% |
13102
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2537
93.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2916
107.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2066
76.3 IPS |
|
|
Text Classification (SP)
|
100% |
1402
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
2404
3.21 KIPS |
|
|
Text Classification (Q)
|
93% |
2392
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1568
27.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3442
59.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3428
59.2 IPS |
