iPhone 11 Pro Max
Geekbench AI Score
1215
Single Precision Score
3621
Half Precision Score
752
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 11:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
552
102.6 IPS |
|
|
Image Classification (HP)
|
100% |
2694
500.9 IPS |
|
|
Image Classification (Q)
|
97% |
279
52.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
437
7.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
493
7.99 IPS |
|
|
Image Segmentation (Q)
|
99% |
313
5.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
3348
3.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
29194
34.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
3493
4.09 IPS |
|
|
Object Detection (SP)
|
100% |
577
45.8 IPS |
|
|
Object Detection (HP)
|
100% |
2430
192.7 IPS |
|
|
Object Detection (Q)
|
94% |
298
23.8 IPS |
|
|
Face Detection (SP)
|
100% |
1173
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
7227
85.9 IPS |
|
|
Face Detection (Q)
|
100% |
403
4.78 IPS |
|
|
Depth Estimation (SP)
|
100% |
2005
15.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
24020
185.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
1080
8.43 IPS |
|
|
Style Transfer (SP)
|
100% |
5507
7.08 IPS |
|
|
Style Transfer (HP)
|
100% |
10895
14.0 IPS |
|
|
Style Transfer (Q)
|
96% |
4748
6.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1706
63.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4388
162.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
635
23.5 IPS |
|
|
Text Classification (SP)
|
100% |
782
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
462
617.2 IPS |
|
|
Text Classification (Q)
|
93% |
459
616.3 IPS |
|
|
Machine Translation (SP)
|
100% |
871
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1074
18.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1061
18.3 IPS |
