iPhone 11 Pro Max
Geekbench AI Score
1699
Single Precision Score
3120
Half Precision Score
2588
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Saud-Ayesh |
| Upload Date | April 18 2026 03:48 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
771
143.4 IPS |
|
|
Image Classification (HP)
|
100% |
1339
249.1 IPS |
|
|
Image Classification (Q)
|
96% |
968
180.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
828
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1226
19.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1430
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3452
4.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
6390
7.46 IPS |
|
|
Pose Estimation (Q)
|
95% |
5707
6.69 IPS |
|
|
Object Detection (SP)
|
100% |
765
60.7 IPS |
|
|
Object Detection (HP)
|
97% |
1541
122.7 IPS |
|
|
Object Detection (Q)
|
94% |
1143
91.1 IPS |
|
|
Face Detection (SP)
|
100% |
1562
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
3167
37.6 IPS |
|
|
Face Detection (Q)
|
100% |
1804
21.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3006
23.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
5801
44.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4303
33.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7410
9.53 IPS |
|
|
Style Transfer (HP)
|
100% |
14374
18.5 IPS |
|
|
Style Transfer (Q)
|
96% |
12370
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1934
71.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2805
103.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2177
80.4 IPS |
|
|
Text Classification (SP)
|
100% |
1396
1.86 KIPS |
|
|
Text Classification (HP)
|
99% |
2309
3.08 KIPS |
|
|
Text Classification (Q)
|
93% |
2294
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1267
21.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3168
54.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3114
53.8 IPS |
