iPhone 11
Geekbench AI Score
1204
Single Precision Score
3606
Half Precision Score
743
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 28 2025 12:29 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
546
101.6 IPS |
|
|
Image Classification (HP)
|
100% |
2868
533.4 IPS |
|
|
Image Classification (Q)
|
97% |
279
52.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
443
7.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
499
8.09 IPS |
|
|
Image Segmentation (Q)
|
99% |
313
5.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
3372
3.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
28767
33.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
3546
4.15 IPS |
|
|
Object Detection (SP)
|
100% |
576
45.7 IPS |
|
|
Object Detection (HP)
|
100% |
2448
194.1 IPS |
|
|
Object Detection (Q)
|
94% |
292
23.3 IPS |
|
|
Face Detection (SP)
|
100% |
1138
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
6953
82.6 IPS |
|
|
Face Detection (Q)
|
100% |
393
4.67 IPS |
|
|
Depth Estimation (SP)
|
100% |
1993
15.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
23314
179.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
1054
8.24 IPS |
|
|
Style Transfer (SP)
|
100% |
5322
6.84 IPS |
|
|
Style Transfer (HP)
|
100% |
10870
14.0 IPS |
|
|
Style Transfer (Q)
|
96% |
4631
5.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1734
64.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4391
162.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
637
23.5 IPS |
|
|
Text Classification (SP)
|
100% |
781
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
465
620.5 IPS |
|
|
Text Classification (Q)
|
93% |
461
618.8 IPS |
|
|
Machine Translation (SP)
|
100% |
835
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1026
17.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1020
17.6 IPS |
