iPhone 11
Geekbench AI Score
1528
Single Precision Score
3024
Half Precision Score
2471
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | hello-world |
| Upload Date | April 19 2025 04:39 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
773
143.8 IPS |
|
|
Image Classification (HP)
|
100% |
1362
253.2 IPS |
|
|
Image Classification (Q)
|
96% |
972
181.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
783
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1167
18.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1346
21.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3221
3.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
6113
7.13 IPS |
|
|
Pose Estimation (Q)
|
95% |
5334
6.25 IPS |
|
|
Object Detection (SP)
|
100% |
693
55.0 IPS |
|
|
Object Detection (HP)
|
97% |
1556
123.9 IPS |
|
|
Object Detection (Q)
|
94% |
1132
90.2 IPS |
|
|
Face Detection (SP)
|
100% |
1567
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
3100
36.8 IPS |
|
|
Face Detection (Q)
|
100% |
1725
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2505
19.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
5347
41.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
3810
29.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6248
8.03 IPS |
|
|
Style Transfer (HP)
|
100% |
14039
18.0 IPS |
|
|
Style Transfer (Q)
|
96% |
11635
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1843
68.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2623
96.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2025
74.8 IPS |
|
|
Text Classification (SP)
|
100% |
1294
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2183
2.91 KIPS |
|
|
Text Classification (Q)
|
93% |
2179
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
881
15.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3184
55.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3191
55.1 IPS |
