iPhone 11 Pro
Geekbench AI Score
1622
Single Precision Score
2674
Half Precision Score
2222
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | bobolopolis |
| Upload Date | August 16 2024 12:55 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPhone 11 Pro |
| Model ID | iPhone12,3 |
| Motherboard | D421AP |
| 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 | 3.68 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
763
141.9 IPS |
|
|
Image Classification (HP)
|
100% |
1148
213.4 IPS |
|
|
Image Classification (Q)
|
99% |
1139
212.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
707
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
770
12.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
770
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3523
4.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
6581
7.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
5717
6.70 IPS |
|
|
Object Detection (SP)
|
100% |
681
54.0 IPS |
|
|
Object Detection (HP)
|
97% |
1322
105.3 IPS |
|
|
Object Detection (Q)
|
94% |
1024
81.6 IPS |
|
|
Face Detection (SP)
|
100% |
1381
16.4 IPS |
|
|
Face Detection (HP)
|
100% |
2674
31.8 IPS |
|
|
Face Detection (Q)
|
100% |
1662
19.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2917
22.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4928
38.1 IPS |
|
|
Depth Estimation (Q)
|
96% |
2544
19.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7460
9.59 IPS |
|
|
Style Transfer (HP)
|
100% |
13673
17.6 IPS |
|
|
Style Transfer (Q)
|
100% |
13666
17.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2007
74.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2792
103.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2100
77.8 IPS |
|
|
Text Classification (SP)
|
100% |
1423
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
2012
2.69 KIPS |
|
|
Text Classification (Q)
|
93% |
1970
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1139
19.6 IPS |
|
|
Machine Translation (HP)
|
98% |
2404
41.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2395
41.4 IPS |
