iPhone 11
Geekbench AI Score
913
Single Precision Score
1138
Half Precision Score
510
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | alaskaFinnMac |
| Upload Date | December 28 2024 01:35 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
290
54.0 IPS |
|
|
Image Classification (HP)
|
100% |
369
68.6 IPS |
|
|
Image Classification (Q)
|
97% |
242
45.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
314
5.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
345
5.59 IPS |
|
|
Image Segmentation (Q)
|
99% |
346
5.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
2373
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3214
3.75 IPS |
|
|
Pose Estimation (Q)
|
95% |
1270
1.49 IPS |
|
|
Object Detection (SP)
|
100% |
649
51.5 IPS |
|
|
Object Detection (HP)
|
100% |
728
57.8 IPS |
|
|
Object Detection (Q)
|
94% |
300
23.9 IPS |
|
|
Face Detection (SP)
|
100% |
2541
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
3392
40.3 IPS |
|
|
Face Detection (Q)
|
100% |
398
4.73 IPS |
|
|
Depth Estimation (SP)
|
100% |
2520
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3494
26.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
1046
8.16 IPS |
|
|
Style Transfer (SP)
|
100% |
6157
7.92 IPS |
|
|
Style Transfer (HP)
|
100% |
8620
11.1 IPS |
|
|
Style Transfer (Q)
|
96% |
2097
2.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1211
44.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1303
48.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
462
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
230
307.3 IPS |
|
|
Text Classification (HP)
|
100% |
410
547.6 IPS |
|
|
Text Classification (Q)
|
93% |
409
549.5 IPS |
|
|
Machine Translation (SP)
|
100% |
263
4.54 IPS |
|
|
Machine Translation (HP)
|
100% |
225
3.87 IPS |
|
|
Machine Translation (Q)
|
98% |
229
3.95 IPS |
