iPhone 11
Geekbench AI Score
1548
Single Precision Score
2962
Half Precision Score
2413
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | hrdc0r3 |
| Upload Date | December 02 2024 12:02 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
612
113.8 IPS |
|
|
Image Classification (HP)
|
100% |
1222
227.3 IPS |
|
|
Image Classification (Q)
|
96% |
863
161.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
665
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1136
18.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1120
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2750
3.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
5231
6.10 IPS |
|
|
Pose Estimation (Q)
|
95% |
4589
5.38 IPS |
|
|
Object Detection (SP)
|
100% |
714
56.6 IPS |
|
|
Object Detection (HP)
|
97% |
1450
115.5 IPS |
|
|
Object Detection (Q)
|
94% |
1115
88.8 IPS |
|
|
Face Detection (SP)
|
100% |
1492
17.7 IPS |
|
|
Face Detection (HP)
|
100% |
3220
38.3 IPS |
|
|
Face Detection (Q)
|
100% |
1835
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3017
23.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
5940
45.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
4284
33.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7229
9.29 IPS |
|
|
Style Transfer (HP)
|
100% |
13712
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
11985
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1953
72.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2718
100.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2101
77.6 IPS |
|
|
Text Classification (SP)
|
100% |
1298
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2158
2.88 KIPS |
|
|
Text Classification (Q)
|
93% |
2150
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1201
20.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3216
55.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3180
55.0 IPS |
