iPhone 11
Geekbench AI Score
1729
Single Precision Score
3167
Half Precision Score
2620
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 09 2025 12:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
791
147.1 IPS |
|
|
Image Classification (HP)
|
100% |
1394
259.3 IPS |
|
|
Image Classification (Q)
|
96% |
988
184.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
816
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1285
20.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1474
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3704
4.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
6647
7.76 IPS |
|
|
Pose Estimation (Q)
|
95% |
5918
6.94 IPS |
|
|
Object Detection (SP)
|
100% |
745
59.1 IPS |
|
|
Object Detection (HP)
|
97% |
1623
129.2 IPS |
|
|
Object Detection (Q)
|
94% |
1174
93.6 IPS |
|
|
Face Detection (SP)
|
100% |
1653
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
3258
38.7 IPS |
|
|
Face Detection (Q)
|
100% |
1874
22.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3169
24.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
5976
46.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
4365
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7542
9.70 IPS |
|
|
Style Transfer (HP)
|
100% |
14093
18.1 IPS |
|
|
Style Transfer (Q)
|
96% |
12231
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2024
74.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2738
101.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2109
77.9 IPS |
|
|
Text Classification (SP)
|
100% |
1298
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2157
2.88 KIPS |
|
|
Text Classification (Q)
|
93% |
2221
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1294
22.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3243
56.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3219
55.6 IPS |
