iPhone 11
Geekbench AI Score
1608
Single Precision Score
2702
Half Precision Score
2244
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | gumieProf |
| Upload Date | August 19 2024 02:20 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
771
143.4 IPS |
|
|
Image Classification (HP)
|
100% |
1154
214.6 IPS |
|
|
Image Classification (Q)
|
99% |
1148
214.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
724
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
790
12.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
774
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3540
4.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
6473
7.55 IPS |
|
|
Pose Estimation (Q)
|
96% |
5704
6.68 IPS |
|
|
Object Detection (SP)
|
100% |
682
54.1 IPS |
|
|
Object Detection (HP)
|
97% |
1317
104.8 IPS |
|
|
Object Detection (Q)
|
94% |
998
79.5 IPS |
|
|
Face Detection (SP)
|
100% |
1362
16.2 IPS |
|
|
Face Detection (HP)
|
100% |
2606
31.0 IPS |
|
|
Face Detection (Q)
|
100% |
1629
19.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2877
22.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4872
37.6 IPS |
|
|
Depth Estimation (Q)
|
96% |
2483
19.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7258
9.33 IPS |
|
|
Style Transfer (HP)
|
100% |
13524
17.4 IPS |
|
|
Style Transfer (Q)
|
100% |
13405
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1936
71.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2665
98.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2088
77.4 IPS |
|
|
Text Classification (SP)
|
100% |
1436
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
2450
3.27 KIPS |
|
|
Text Classification (Q)
|
93% |
2379
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1090
18.8 IPS |
|
|
Machine Translation (HP)
|
98% |
2383
41.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2384
41.2 IPS |
