iPhone 11 Pro Max
Geekbench AI Score
1664
Single Precision Score
3075
Half Precision Score
2564
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 10 2025 04:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
799
148.5 IPS |
|
|
Image Classification (HP)
|
100% |
1370
254.8 IPS |
|
|
Image Classification (Q)
|
96% |
986
184.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
787
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1181
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1361
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3679
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
6706
7.82 IPS |
|
|
Pose Estimation (Q)
|
95% |
5960
6.99 IPS |
|
|
Object Detection (SP)
|
100% |
726
57.6 IPS |
|
|
Object Detection (HP)
|
97% |
1587
126.4 IPS |
|
|
Object Detection (Q)
|
94% |
1159
92.4 IPS |
|
|
Face Detection (SP)
|
100% |
1619
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
3116
37.0 IPS |
|
|
Face Detection (Q)
|
100% |
1835
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2998
23.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
5533
42.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4134
32.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7428
9.55 IPS |
|
|
Style Transfer (HP)
|
100% |
14530
18.7 IPS |
|
|
Style Transfer (Q)
|
96% |
12434
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1836
67.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2562
94.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2057
76.0 IPS |
|
|
Text Classification (SP)
|
100% |
1293
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2174
2.90 KIPS |
|
|
Text Classification (Q)
|
93% |
2167
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1139
19.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3147
54.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3155
54.5 IPS |
