iPhone 11 Pro Max
Geekbench AI Score
1596
Single Precision Score
3029
Half Precision Score
2536
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 10 2025 08:25 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
794
147.7 IPS |
|
|
Image Classification (HP)
|
100% |
1323
246.1 IPS |
|
|
Image Classification (Q)
|
96% |
955
178.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
771
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1127
18.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1364
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3651
4.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
6690
7.81 IPS |
|
|
Pose Estimation (Q)
|
95% |
5936
6.96 IPS |
|
|
Object Detection (SP)
|
100% |
706
56.0 IPS |
|
|
Object Detection (HP)
|
97% |
1554
123.7 IPS |
|
|
Object Detection (Q)
|
94% |
1139
90.8 IPS |
|
|
Face Detection (SP)
|
100% |
1608
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
3118
37.0 IPS |
|
|
Face Detection (Q)
|
100% |
1822
21.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2165
16.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
5394
41.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
3995
31.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6665
8.57 IPS |
|
|
Style Transfer (HP)
|
100% |
14412
18.5 IPS |
|
|
Style Transfer (Q)
|
96% |
12224
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1919
70.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2530
93.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2055
75.9 IPS |
|
|
Text Classification (SP)
|
100% |
1303
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2192
2.93 KIPS |
|
|
Text Classification (Q)
|
93% |
2175
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1175
20.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3130
54.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3147
54.4 IPS |
