iPhone 11 Pro Max
Geekbench AI Score
1773
Single Precision Score
3092
Half Precision Score
2684
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | MMHakami |
| Upload Date | April 22 2026 12:06 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.4.1 |
| 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% |
800
148.9 IPS |
|
|
Image Classification (HP)
|
100% |
1351
251.2 IPS |
|
|
Image Classification (Q)
|
96% |
972
181.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
836
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1249
20.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1452
23.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3175
3.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
6110
7.13 IPS |
|
|
Pose Estimation (Q)
|
95% |
5576
6.54 IPS |
|
|
Object Detection (SP)
|
100% |
782
62.0 IPS |
|
|
Object Detection (HP)
|
97% |
1585
126.2 IPS |
|
|
Object Detection (Q)
|
94% |
1162
92.6 IPS |
|
|
Face Detection (SP)
|
100% |
1673
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
1796
21.3 IPS |
|
|
Face Detection (Q)
|
100% |
1738
20.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2738
21.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
5690
44.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
4174
32.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6865
8.83 IPS |
|
|
Style Transfer (HP)
|
100% |
14502
18.6 IPS |
|
|
Style Transfer (Q)
|
96% |
12108
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1997
73.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2898
107.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2154
79.5 IPS |
|
|
Text Classification (SP)
|
99% |
2282
3.05 KIPS |
|
|
Text Classification (HP)
|
99% |
3937
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3897
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1291
22.2 IPS |
|
|
Machine Translation (HP)
|
98% |
2893
50.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2886
49.9 IPS |
