iPhone 11
Geekbench AI Score
1077
Single Precision Score
3333
Half Precision Score
660
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 11:47 AM |
| 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% |
528
98.3 IPS |
|
|
Image Classification (HP)
|
100% |
2728
507.4 IPS |
|
|
Image Classification (Q)
|
97% |
245
45.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
412
6.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
465
7.53 IPS |
|
|
Image Segmentation (Q)
|
99% |
287
4.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
2826
3.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
23598
27.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
3022
3.54 IPS |
|
|
Object Detection (SP)
|
100% |
533
42.3 IPS |
|
|
Object Detection (HP)
|
100% |
2386
189.3 IPS |
|
|
Object Detection (Q)
|
94% |
256
20.4 IPS |
|
|
Face Detection (SP)
|
100% |
1082
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
6861
81.5 IPS |
|
|
Face Detection (Q)
|
100% |
344
4.09 IPS |
|
|
Depth Estimation (SP)
|
100% |
1661
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
20976
161.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
934
7.30 IPS |
|
|
Style Transfer (SP)
|
100% |
4412
5.67 IPS |
|
|
Style Transfer (HP)
|
100% |
9723
12.5 IPS |
|
|
Style Transfer (Q)
|
96% |
4070
5.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1632
60.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4297
158.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
566
20.9 IPS |
|
|
Text Classification (SP)
|
100% |
731
975.8 IPS |
|
|
Text Classification (HP)
|
100% |
427
570.2 IPS |
|
|
Text Classification (Q)
|
93% |
425
570.6 IPS |
|
|
Machine Translation (SP)
|
100% |
680
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
925
15.9 IPS |
|
|
Machine Translation (Q)
|
98% |
917
15.8 IPS |
