iPhone 11 Pro Max
Geekbench AI Score
1634
Single Precision Score
3064
Half Precision Score
2550
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 10 2025 03:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
723
134.4 IPS |
|
|
Image Classification (HP)
|
100% |
1375
255.7 IPS |
|
|
Image Classification (Q)
|
96% |
984
183.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
775
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1207
19.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1361
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3560
4.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
6493
7.58 IPS |
|
|
Pose Estimation (Q)
|
95% |
5845
6.85 IPS |
|
|
Object Detection (SP)
|
100% |
717
56.9 IPS |
|
|
Object Detection (HP)
|
97% |
1578
125.6 IPS |
|
|
Object Detection (Q)
|
94% |
1151
91.8 IPS |
|
|
Face Detection (SP)
|
100% |
1614
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
3105
36.9 IPS |
|
|
Face Detection (Q)
|
100% |
1813
21.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2944
22.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
5509
42.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
4109
32.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7262
9.34 IPS |
|
|
Style Transfer (HP)
|
100% |
14378
18.5 IPS |
|
|
Style Transfer (Q)
|
96% |
12376
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1816
67.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2569
94.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2055
75.9 IPS |
|
|
Text Classification (SP)
|
100% |
1304
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2180
2.91 KIPS |
|
|
Text Classification (Q)
|
93% |
2180
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1163
20.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3116
53.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3126
54.0 IPS |
