iPhone 11 Pro Max
Geekbench AI Score
1643
Single Precision Score
3147
Half Precision Score
2603
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 08:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
720
133.8 IPS |
|
|
Image Classification (HP)
|
100% |
1348
250.7 IPS |
|
|
Image Classification (Q)
|
96% |
972
181.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
790
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1253
20.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1466
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3611
4.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
6667
7.78 IPS |
|
|
Pose Estimation (Q)
|
95% |
5915
6.93 IPS |
|
|
Object Detection (SP)
|
100% |
679
53.9 IPS |
|
|
Object Detection (HP)
|
97% |
1588
126.4 IPS |
|
|
Object Detection (Q)
|
94% |
1169
93.2 IPS |
|
|
Face Detection (SP)
|
100% |
1615
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
3211
38.1 IPS |
|
|
Face Detection (Q)
|
100% |
1850
22.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3024
23.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
5913
45.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
4341
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7663
9.85 IPS |
|
|
Style Transfer (HP)
|
100% |
14522
18.7 IPS |
|
|
Style Transfer (Q)
|
96% |
12402
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1969
72.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2838
104.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2185
80.7 IPS |
|
|
Text Classification (SP)
|
100% |
1276
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
2089
2.79 KIPS |
|
|
Text Classification (Q)
|
93% |
2083
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1094
18.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3263
56.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3209
55.5 IPS |
