iPhone 11
Geekbench AI Score
1098
Single Precision Score
3423
Half Precision Score
1358
Quantized Score
Geekbench AI 1.0.0 Corporate for iOS AArch64
Result Information
| Upload Date | August 15 2024 03:50 AM |
| Views | 23 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
547
101.7 IPS |
|
|
Image Classification (HP)
|
100% |
2803
521.3 IPS |
|
|
Image Classification (Q)
|
99% |
2781
518.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
434
7.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
501
8.12 IPS |
|
|
Image Segmentation (Q)
|
100% |
492
7.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
3087
3.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
26946
31.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
3292
3.86 IPS |
|
|
Object Detection (SP)
|
100% |
568
45.0 IPS |
|
|
Object Detection (HP)
|
100% |
2434
193.0 IPS |
|
|
Object Detection (Q)
|
94% |
283
22.6 IPS |
|
|
Face Detection (SP)
|
100% |
871
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
6092
72.4 IPS |
|
|
Face Detection (Q)
|
100% |
331
3.94 IPS |
|
|
Depth Estimation (SP)
|
100% |
1675
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
21745
167.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
20634
159.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4895
6.29 IPS |
|
|
Style Transfer (HP)
|
100% |
10403
13.4 IPS |
|
|
Style Transfer (Q)
|
100% |
10770
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1601
59.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4324
159.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
578
21.4 IPS |
|
|
Text Classification (SP)
|
100% |
735
980.9 IPS |
|
|
Text Classification (HP)
|
100% |
430
574.5 IPS |
|
|
Text Classification (Q)
|
93% |
429
576.2 IPS |
|
|
Machine Translation (SP)
|
100% |
734
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
938
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
923
16.0 IPS |
