iPhone 11
Geekbench AI Score
1137
Single Precision Score
3500
Half Precision Score
704
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | hrdc0r3 |
| Upload Date | December 01 2024 07:23 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7.2 |
| 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% |
541
100.6 IPS |
|
|
Image Classification (HP)
|
100% |
2844
528.9 IPS |
|
|
Image Classification (Q)
|
97% |
273
51.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
445
7.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
500
8.11 IPS |
|
|
Image Segmentation (Q)
|
99% |
313
5.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
3150
3.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
28316
33.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
3521
4.13 IPS |
|
|
Object Detection (SP)
|
100% |
570
45.2 IPS |
|
|
Object Detection (HP)
|
100% |
2378
188.6 IPS |
|
|
Object Detection (Q)
|
94% |
287
22.9 IPS |
|
|
Face Detection (SP)
|
100% |
1125
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
7271
86.4 IPS |
|
|
Face Detection (Q)
|
100% |
374
4.45 IPS |
|
|
Depth Estimation (SP)
|
100% |
1823
14.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22588
174.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
1018
7.95 IPS |
|
|
Style Transfer (SP)
|
100% |
5037
6.47 IPS |
|
|
Style Transfer (HP)
|
100% |
10095
13.0 IPS |
|
|
Style Transfer (Q)
|
96% |
4117
5.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1562
57.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4316
159.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
561
20.7 IPS |
|
|
Text Classification (SP)
|
100% |
712
949.8 IPS |
|
|
Text Classification (HP)
|
100% |
427
569.3 IPS |
|
|
Text Classification (Q)
|
93% |
424
568.7 IPS |
|
|
Machine Translation (SP)
|
100% |
732
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
945
16.3 IPS |
|
|
Machine Translation (Q)
|
98% |
938
16.2 IPS |
