iPhone 11
Geekbench AI Score
1727
Single Precision Score
3159
Half Precision Score
2603
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 01:58 AM |
| 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% |
789
146.7 IPS |
|
|
Image Classification (HP)
|
100% |
1396
259.6 IPS |
|
|
Image Classification (Q)
|
96% |
986
184.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
809
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1280
20.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1477
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3697
4.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
6631
7.74 IPS |
|
|
Pose Estimation (Q)
|
95% |
5884
6.90 IPS |
|
|
Object Detection (SP)
|
100% |
741
58.8 IPS |
|
|
Object Detection (HP)
|
97% |
1620
129.0 IPS |
|
|
Object Detection (Q)
|
94% |
1165
92.9 IPS |
|
|
Face Detection (SP)
|
100% |
1647
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
3244
38.5 IPS |
|
|
Face Detection (Q)
|
100% |
1867
22.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3152
24.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
5963
46.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
4354
34.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7696
9.89 IPS |
|
|
Style Transfer (HP)
|
100% |
14152
18.2 IPS |
|
|
Style Transfer (Q)
|
96% |
12199
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1993
73.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2722
100.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2102
77.6 IPS |
|
|
Text Classification (SP)
|
100% |
1295
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2147
2.87 KIPS |
|
|
Text Classification (Q)
|
93% |
2140
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1313
22.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3230
55.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3212
55.5 IPS |
