iPhone 11 Pro Max
Geekbench AI Score
1548
Single Precision Score
2951
Half Precision Score
2456
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 06 2025 04:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
743
138.1 IPS |
|
|
Image Classification (HP)
|
100% |
1312
244.1 IPS |
|
|
Image Classification (Q)
|
96% |
960
179.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
756
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1124
18.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1341
21.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2616
3.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
5392
6.29 IPS |
|
|
Pose Estimation (Q)
|
95% |
4768
5.59 IPS |
|
|
Object Detection (SP)
|
100% |
673
53.4 IPS |
|
|
Object Detection (HP)
|
97% |
1511
120.3 IPS |
|
|
Object Detection (Q)
|
94% |
1130
90.1 IPS |
|
|
Face Detection (SP)
|
100% |
1551
18.4 IPS |
|
|
Face Detection (HP)
|
100% |
3090
36.7 IPS |
|
|
Face Detection (Q)
|
100% |
1776
21.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2780
21.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
5442
42.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
3977
31.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6601
8.49 IPS |
|
|
Style Transfer (HP)
|
100% |
14258
18.3 IPS |
|
|
Style Transfer (Q)
|
96% |
11912
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1883
69.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2585
95.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2006
74.1 IPS |
|
|
Text Classification (SP)
|
100% |
1318
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2204
2.94 KIPS |
|
|
Text Classification (Q)
|
93% |
2190
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1135
19.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3053
52.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3126
54.0 IPS |
