iPhone 11 Pro
Geekbench AI Score
1209
Single Precision Score
3615
Half Precision Score
749
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 12:28 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 |
| Model ID | iPhone12,3 |
| Motherboard | D421AP |
| 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 | 3.68 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
555
103.1 IPS |
|
|
Image Classification (HP)
|
100% |
2725
506.8 IPS |
|
|
Image Classification (Q)
|
97% |
279
52.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
442
7.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
494
8.01 IPS |
|
|
Image Segmentation (Q)
|
99% |
316
5.12 IPS |
|
|
Pose Estimation (SP)
|
100% |
3410
3.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
29257
34.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
3493
4.09 IPS |
|
|
Object Detection (SP)
|
100% |
579
45.9 IPS |
|
|
Object Detection (HP)
|
100% |
2417
191.7 IPS |
|
|
Object Detection (Q)
|
94% |
293
23.3 IPS |
|
|
Face Detection (SP)
|
100% |
1157
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
7189
85.4 IPS |
|
|
Face Detection (Q)
|
100% |
396
4.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
2006
15.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
23325
179.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
1066
8.33 IPS |
|
|
Style Transfer (SP)
|
100% |
5164
6.64 IPS |
|
|
Style Transfer (HP)
|
100% |
10918
14.0 IPS |
|
|
Style Transfer (Q)
|
96% |
4676
6.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1745
64.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4417
163.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
638
23.5 IPS |
|
|
Text Classification (SP)
|
100% |
768
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
465
620.6 IPS |
|
|
Text Classification (Q)
|
93% |
463
621.4 IPS |
|
|
Machine Translation (SP)
|
100% |
859
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1065
18.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1057
18.3 IPS |
