iPhone 11
Geekbench AI Score
682
Single Precision Score
2328
Half Precision Score
461
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Kuwait |
| Upload Date | October 27 2024 05:35 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
316
58.7 IPS |
|
|
Image Classification (HP)
|
100% |
1751
325.7 IPS |
|
|
Image Classification (Q)
|
97% |
160
29.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
251
4.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
308
5.00 IPS |
|
|
Image Segmentation (Q)
|
99% |
189
3.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
1687
1.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
17327
20.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
2183
2.56 IPS |
|
|
Object Detection (SP)
|
100% |
310
24.6 IPS |
|
|
Object Detection (HP)
|
100% |
1628
129.2 IPS |
|
|
Object Detection (Q)
|
94% |
179
14.3 IPS |
|
|
Face Detection (SP)
|
100% |
685
8.14 IPS |
|
|
Face Detection (HP)
|
100% |
4686
55.7 IPS |
|
|
Face Detection (Q)
|
100% |
245
2.91 IPS |
|
|
Depth Estimation (SP)
|
100% |
1085
8.36 IPS |
|
|
Depth Estimation (HP)
|
99% |
18288
140.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
688
5.37 IPS |
|
|
Style Transfer (SP)
|
100% |
3050
3.92 IPS |
|
|
Style Transfer (HP)
|
100% |
7079
9.10 IPS |
|
|
Style Transfer (Q)
|
96% |
2944
3.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
905
33.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2685
99.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
417
15.4 IPS |
|
|
Text Classification (SP)
|
100% |
542
722.9 IPS |
|
|
Text Classification (HP)
|
100% |
290
387.1 IPS |
|
|
Text Classification (Q)
|
93% |
278
372.8 IPS |
|
|
Machine Translation (SP)
|
100% |
473
8.15 IPS |
|
|
Machine Translation (HP)
|
100% |
652
11.2 IPS |
|
|
Machine Translation (Q)
|
98% |
650
11.2 IPS |
