iPhone 11
Geekbench AI Score
1168
Single Precision Score
3563
Half Precision Score
730
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 08:59 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7.2 |
| 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% |
547
101.8 IPS |
|
|
Image Classification (HP)
|
100% |
2841
528.3 IPS |
|
|
Image Classification (Q)
|
97% |
276
51.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
441
7.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
498
8.08 IPS |
|
|
Image Segmentation (Q)
|
99% |
314
5.10 IPS |
|
|
Pose Estimation (SP)
|
100% |
3377
3.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
27925
32.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
3352
3.93 IPS |
|
|
Object Detection (SP)
|
100% |
580
46.0 IPS |
|
|
Object Detection (HP)
|
100% |
2441
193.6 IPS |
|
|
Object Detection (Q)
|
94% |
298
23.8 IPS |
|
|
Face Detection (SP)
|
100% |
1140
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
6947
82.5 IPS |
|
|
Face Detection (Q)
|
100% |
390
4.64 IPS |
|
|
Depth Estimation (SP)
|
100% |
1704
13.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22871
176.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
998
7.80 IPS |
|
|
Style Transfer (SP)
|
100% |
5226
6.72 IPS |
|
|
Style Transfer (HP)
|
100% |
11261
14.5 IPS |
|
|
Style Transfer (Q)
|
96% |
4687
6.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1657
61.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4367
161.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
638
23.6 IPS |
|
|
Text Classification (SP)
|
100% |
737
983.4 IPS |
|
|
Text Classification (HP)
|
100% |
432
576.7 IPS |
|
|
Text Classification (Q)
|
93% |
429
576.4 IPS |
|
|
Machine Translation (SP)
|
100% |
809
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1013
17.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1002
17.3 IPS |
