iPhone 11
Geekbench AI Score
768
Single Precision Score
1581
Half Precision Score
1224
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 06 2025 08:36 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
244
45.3 IPS |
|
|
Image Classification (HP)
|
100% |
717
133.3 IPS |
|
|
Image Classification (Q)
|
96% |
384
71.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
401
6.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
329
5.33 IPS |
|
|
Image Segmentation (Q)
|
99% |
464
7.52 IPS |
|
|
Pose Estimation (SP)
|
100% |
1046
1.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
3099
3.62 IPS |
|
|
Pose Estimation (Q)
|
95% |
2193
2.57 IPS |
|
|
Object Detection (SP)
|
100% |
354
28.1 IPS |
|
|
Object Detection (HP)
|
97% |
899
71.5 IPS |
|
|
Object Detection (Q)
|
94% |
616
49.1 IPS |
|
|
Face Detection (SP)
|
100% |
906
10.8 IPS |
|
|
Face Detection (HP)
|
100% |
1771
21.0 IPS |
|
|
Face Detection (Q)
|
100% |
1040
12.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1474
11.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
2164
16.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
1618
12.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3355
4.31 IPS |
|
|
Style Transfer (HP)
|
100% |
8225
10.6 IPS |
|
|
Style Transfer (Q)
|
96% |
6245
8.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
724
26.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1780
65.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1171
43.3 IPS |
|
|
Text Classification (SP)
|
100% |
754
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
1389
1.85 KIPS |
|
|
Text Classification (Q)
|
93% |
1339
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
810
14.0 IPS |
|
|
Machine Translation (HP)
|
98% |
1913
33.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1918
33.1 IPS |
