iPhone 11 Pro Max
Geekbench AI Score
1727
Single Precision Score
3137
Half Precision Score
2630
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 01 2026 12:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
802
149.1 IPS |
|
|
Image Classification (HP)
|
100% |
1334
248.2 IPS |
|
|
Image Classification (Q)
|
96% |
970
181.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
852
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1238
20.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1468
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3642
4.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
6689
7.80 IPS |
|
|
Pose Estimation (Q)
|
95% |
5942
6.96 IPS |
|
|
Object Detection (SP)
|
100% |
759
60.2 IPS |
|
|
Object Detection (HP)
|
97% |
1590
126.6 IPS |
|
|
Object Detection (Q)
|
94% |
1169
93.2 IPS |
|
|
Face Detection (SP)
|
100% |
1680
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
3234
38.4 IPS |
|
|
Face Detection (Q)
|
100% |
1872
22.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3128
24.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
5889
45.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
4375
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7571
9.73 IPS |
|
|
Style Transfer (HP)
|
100% |
14438
18.6 IPS |
|
|
Style Transfer (Q)
|
96% |
12330
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1988
73.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2662
98.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2201
81.3 IPS |
|
|
Text Classification (SP)
|
100% |
1368
1.83 KIPS |
|
|
Text Classification (HP)
|
99% |
2221
2.96 KIPS |
|
|
Text Classification (Q)
|
93% |
2216
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1158
19.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3235
55.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3260
56.3 IPS |
