iPhone 11 Pro Max
Geekbench AI Score
1611
Single Precision Score
2697
Half Precision Score
2325
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 29 2025 03:46 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
762
141.6 IPS |
|
|
Image Classification (HP)
|
100% |
1142
212.4 IPS |
|
|
Image Classification (Q)
|
96% |
862
161.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
696
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
778
12.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1082
17.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3636
4.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
6651
7.76 IPS |
|
|
Pose Estimation (Q)
|
95% |
5863
6.87 IPS |
|
|
Object Detection (SP)
|
100% |
686
54.4 IPS |
|
|
Object Detection (HP)
|
97% |
1328
105.8 IPS |
|
|
Object Detection (Q)
|
94% |
1001
79.8 IPS |
|
|
Face Detection (SP)
|
100% |
1377
16.4 IPS |
|
|
Face Detection (HP)
|
100% |
2655
31.5 IPS |
|
|
Face Detection (Q)
|
100% |
1639
19.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2826
21.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
4865
37.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
3743
29.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7305
9.39 IPS |
|
|
Style Transfer (HP)
|
100% |
13526
17.4 IPS |
|
|
Style Transfer (Q)
|
96% |
11731
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1951
72.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2654
98.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2111
78.0 IPS |
|
|
Text Classification (SP)
|
100% |
1388
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
2335
3.12 KIPS |
|
|
Text Classification (Q)
|
93% |
2335
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1160
20.0 IPS |
|
|
Machine Translation (HP)
|
98% |
2398
41.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2386
41.2 IPS |
