iPhone 11 Pro Max
Geekbench AI Score
1641
Single Precision Score
3059
Half Precision Score
2540
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 12 2025 04:35 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPhone 11 Pro Max |
| Model ID | iPhone12,5 |
| Motherboard | D431AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.66 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
800
148.9 IPS |
|
|
Image Classification (HP)
|
100% |
1374
255.5 IPS |
|
|
Image Classification (Q)
|
96% |
992
185.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
786
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1179
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1363
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3646
4.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
6655
7.77 IPS |
|
|
Pose Estimation (Q)
|
95% |
5892
6.91 IPS |
|
|
Object Detection (SP)
|
100% |
718
57.0 IPS |
|
|
Object Detection (HP)
|
97% |
1590
126.6 IPS |
|
|
Object Detection (Q)
|
94% |
1161
92.6 IPS |
|
|
Face Detection (SP)
|
100% |
1604
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
3096
36.8 IPS |
|
|
Face Detection (Q)
|
100% |
1796
21.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2857
22.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
5511
42.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
4016
31.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6603
8.49 IPS |
|
|
Style Transfer (HP)
|
100% |
14271
18.3 IPS |
|
|
Style Transfer (Q)
|
96% |
11926
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1887
69.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2517
93.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2058
76.0 IPS |
|
|
Text Classification (SP)
|
100% |
1310
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2183
2.91 KIPS |
|
|
Text Classification (Q)
|
93% |
2177
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1151
19.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3135
54.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3144
54.3 IPS |
