iPhone 11
Geekbench AI Score
1574
Single Precision Score
2645
Half Precision Score
2275
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | hrdc0r3 |
| Upload Date | December 01 2024 07:04 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
748
139.1 IPS |
|
|
Image Classification (HP)
|
100% |
1147
213.2 IPS |
|
|
Image Classification (Q)
|
96% |
864
161.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
702
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
769
12.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1081
17.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3588
4.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
6451
7.53 IPS |
|
|
Pose Estimation (Q)
|
95% |
5709
6.69 IPS |
|
|
Object Detection (SP)
|
100% |
686
54.5 IPS |
|
|
Object Detection (HP)
|
97% |
1308
104.1 IPS |
|
|
Object Detection (Q)
|
94% |
1004
80.0 IPS |
|
|
Face Detection (SP)
|
100% |
1367
16.2 IPS |
|
|
Face Detection (HP)
|
100% |
2286
27.2 IPS |
|
|
Face Detection (Q)
|
100% |
1448
17.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2531
19.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
4732
36.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
3488
27.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6687
8.60 IPS |
|
|
Style Transfer (HP)
|
100% |
13472
17.3 IPS |
|
|
Style Transfer (Q)
|
96% |
11503
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1938
71.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2659
98.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2115
78.1 IPS |
|
|
Text Classification (SP)
|
100% |
1424
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
2434
3.25 KIPS |
|
|
Text Classification (Q)
|
93% |
2370
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1138
19.6 IPS |
|
|
Machine Translation (HP)
|
98% |
2396
41.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2389
41.3 IPS |
