iPhone 11
Geekbench AI Score
1603
Single Precision Score
2695
Half Precision Score
2310
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 07:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
760
141.3 IPS |
|
|
Image Classification (HP)
|
100% |
1146
213.1 IPS |
|
|
Image Classification (Q)
|
96% |
864
161.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
704
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
772
12.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1078
17.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3538
4.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
6505
7.59 IPS |
|
|
Pose Estimation (Q)
|
95% |
5722
6.71 IPS |
|
|
Object Detection (SP)
|
100% |
682
54.1 IPS |
|
|
Object Detection (HP)
|
97% |
1319
105.0 IPS |
|
|
Object Detection (Q)
|
94% |
998
79.6 IPS |
|
|
Face Detection (SP)
|
100% |
1358
16.1 IPS |
|
|
Face Detection (HP)
|
100% |
2598
30.9 IPS |
|
|
Face Detection (Q)
|
100% |
1617
19.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2863
22.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
4876
37.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
3687
28.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7197
9.25 IPS |
|
|
Style Transfer (HP)
|
100% |
13422
17.3 IPS |
|
|
Style Transfer (Q)
|
96% |
11445
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1891
69.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2683
99.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2117
78.2 IPS |
|
|
Text Classification (SP)
|
100% |
1408
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2442
3.26 KIPS |
|
|
Text Classification (Q)
|
93% |
2362
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1169
20.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2396
41.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2394
41.4 IPS |
