iPhone 11
Geekbench AI Score
1736
Single Precision Score
3165
Half Precision Score
2612
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | alaskaFinnMac |
| Upload Date | December 28 2024 01:00 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
792
147.3 IPS |
|
|
Image Classification (HP)
|
100% |
1395
259.5 IPS |
|
|
Image Classification (Q)
|
96% |
991
185.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
813
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1287
20.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1483
24.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3701
4.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
6666
7.78 IPS |
|
|
Pose Estimation (Q)
|
95% |
5881
6.89 IPS |
|
|
Object Detection (SP)
|
100% |
743
59.0 IPS |
|
|
Object Detection (HP)
|
97% |
1628
129.6 IPS |
|
|
Object Detection (Q)
|
94% |
1174
93.6 IPS |
|
|
Face Detection (SP)
|
100% |
1651
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
3256
38.7 IPS |
|
|
Face Detection (Q)
|
100% |
1880
22.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3180
24.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
5982
46.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
4377
34.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7757
9.97 IPS |
|
|
Style Transfer (HP)
|
100% |
14180
18.2 IPS |
|
|
Style Transfer (Q)
|
96% |
12255
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2008
74.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2714
100.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2109
77.9 IPS |
|
|
Text Classification (SP)
|
100% |
1298
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2162
2.89 KIPS |
|
|
Text Classification (Q)
|
93% |
2150
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1323
22.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3203
55.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3195
55.2 IPS |
