iPhone 11
Geekbench AI Score
1668
Single Precision Score
3112
Half Precision Score
2549
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 12:31 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
790
146.9 IPS |
|
|
Image Classification (HP)
|
100% |
1394
259.2 IPS |
|
|
Image Classification (Q)
|
96% |
987
184.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
812
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1283
20.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1477
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3591
4.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
6408
7.48 IPS |
|
|
Pose Estimation (Q)
|
95% |
5724
6.71 IPS |
|
|
Object Detection (SP)
|
100% |
742
58.8 IPS |
|
|
Object Detection (HP)
|
97% |
1621
129.0 IPS |
|
|
Object Detection (Q)
|
94% |
1164
92.8 IPS |
|
|
Face Detection (SP)
|
100% |
1641
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
3236
38.4 IPS |
|
|
Face Detection (Q)
|
100% |
1810
21.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2895
22.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
5921
45.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4143
32.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6991
8.99 IPS |
|
|
Style Transfer (HP)
|
100% |
13625
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
11863
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1946
71.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2622
96.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2059
76.0 IPS |
|
|
Text Classification (SP)
|
100% |
1293
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2154
2.88 KIPS |
|
|
Text Classification (Q)
|
93% |
2150
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1169
20.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3116
53.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3036
52.5 IPS |
