iPhone 11
Geekbench AI Score
1675
Single Precision Score
3102
Half Precision Score
2560
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 07:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
786
146.2 IPS |
|
|
Image Classification (HP)
|
100% |
1388
258.1 IPS |
|
|
Image Classification (Q)
|
96% |
983
183.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
810
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1277
20.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1474
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3544
4.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
6313
7.37 IPS |
|
|
Pose Estimation (Q)
|
95% |
5672
6.65 IPS |
|
|
Object Detection (SP)
|
100% |
732
58.1 IPS |
|
|
Object Detection (HP)
|
97% |
1597
127.1 IPS |
|
|
Object Detection (Q)
|
94% |
1159
92.4 IPS |
|
|
Face Detection (SP)
|
100% |
1628
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
3209
38.1 IPS |
|
|
Face Detection (Q)
|
100% |
1806
21.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2987
23.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
5865
45.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
4316
33.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7185
9.24 IPS |
|
|
Style Transfer (HP)
|
100% |
13589
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
11810
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1861
68.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2696
99.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2085
77.0 IPS |
|
|
Text Classification (SP)
|
100% |
1294
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2152
2.87 KIPS |
|
|
Text Classification (Q)
|
93% |
2161
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1256
21.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3119
53.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3060
52.9 IPS |
