iPhone 11
Geekbench AI Score
1117
Single Precision Score
3435
Half Precision Score
687
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 01:58 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
550
102.2 IPS |
|
|
Image Classification (HP)
|
100% |
2705
503.1 IPS |
|
|
Image Classification (Q)
|
97% |
275
51.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
440
7.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
499
8.09 IPS |
|
|
Image Segmentation (Q)
|
99% |
313
5.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
3236
3.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
28864
33.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
3570
4.18 IPS |
|
|
Object Detection (SP)
|
100% |
573
45.5 IPS |
|
|
Object Detection (HP)
|
100% |
2379
188.7 IPS |
|
|
Object Detection (Q)
|
94% |
291
23.2 IPS |
|
|
Face Detection (SP)
|
100% |
1156
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
6959
82.7 IPS |
|
|
Face Detection (Q)
|
100% |
325
3.86 IPS |
|
|
Depth Estimation (SP)
|
100% |
1603
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
21363
164.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
924
7.22 IPS |
|
|
Style Transfer (SP)
|
100% |
4332
5.57 IPS |
|
|
Style Transfer (HP)
|
100% |
9683
12.4 IPS |
|
|
Style Transfer (Q)
|
96% |
4025
5.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1628
60.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4280
158.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
563
20.8 IPS |
|
|
Text Classification (SP)
|
100% |
720
961.0 IPS |
|
|
Text Classification (HP)
|
100% |
432
577.3 IPS |
|
|
Text Classification (Q)
|
93% |
425
570.9 IPS |
|
|
Machine Translation (SP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
928
16.0 IPS |
|
|
Machine Translation (Q)
|
98% |
916
15.8 IPS |
