iPhone 11
Geekbench AI Score
1606
Single Precision Score
2703
Half Precision Score
2292
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 12:23 PM |
| Views | 2 |
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% |
737
137.1 IPS |
|
|
Image Classification (HP)
|
100% |
1140
212.0 IPS |
|
|
Image Classification (Q)
|
96% |
864
161.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
705
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
771
12.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1081
17.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3665
4.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
6700
7.82 IPS |
|
|
Pose Estimation (Q)
|
95% |
5912
6.93 IPS |
|
|
Object Detection (SP)
|
100% |
690
54.7 IPS |
|
|
Object Detection (HP)
|
97% |
1324
105.4 IPS |
|
|
Object Detection (Q)
|
94% |
1015
80.9 IPS |
|
|
Face Detection (SP)
|
100% |
1379
16.4 IPS |
|
|
Face Detection (HP)
|
100% |
2673
31.8 IPS |
|
|
Face Detection (Q)
|
100% |
1663
19.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2956
22.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
4867
37.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
3079
24.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6277
8.07 IPS |
|
|
Style Transfer (HP)
|
100% |
13388
17.2 IPS |
|
|
Style Transfer (Q)
|
96% |
11455
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2056
75.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2662
98.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2115
78.1 IPS |
|
|
Text Classification (SP)
|
100% |
1414
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
2395
3.20 KIPS |
|
|
Text Classification (Q)
|
93% |
2386
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1172
20.2 IPS |
|
|
Machine Translation (HP)
|
98% |
2413
41.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2414
41.7 IPS |
