iPhone 11
Geekbench AI Score
1188
Single Precision Score
3587
Half Precision Score
742
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 07 2025 11:33 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| Model | iPhone 11 |
| Model ID | iPhone12,1 |
| Motherboard | N104AP |
| 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 | 3.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
552
102.6 IPS |
|
|
Image Classification (HP)
|
100% |
2707
503.4 IPS |
|
|
Image Classification (Q)
|
97% |
278
52.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
442
7.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
496
8.04 IPS |
|
|
Image Segmentation (Q)
|
99% |
317
5.14 IPS |
|
|
Pose Estimation (SP)
|
100% |
3237
3.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
28874
33.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
3554
4.16 IPS |
|
|
Object Detection (SP)
|
100% |
576
45.7 IPS |
|
|
Object Detection (HP)
|
100% |
2457
194.9 IPS |
|
|
Object Detection (Q)
|
94% |
292
23.3 IPS |
|
|
Face Detection (SP)
|
100% |
1152
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
6959
82.7 IPS |
|
|
Face Detection (Q)
|
100% |
393
4.67 IPS |
|
|
Depth Estimation (SP)
|
100% |
1948
15.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
23234
179.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
1049
8.19 IPS |
|
|
Style Transfer (SP)
|
100% |
5254
6.75 IPS |
|
|
Style Transfer (HP)
|
100% |
10824
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
4575
5.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1641
60.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4452
164.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
630
23.3 IPS |
|
|
Text Classification (SP)
|
100% |
771
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
459
613.1 IPS |
|
|
Text Classification (Q)
|
93% |
458
614.4 IPS |
|
|
Machine Translation (SP)
|
100% |
831
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1037
17.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1028
17.8 IPS |
