iPhone 11
Geekbench AI Score
1062
Single Precision Score
3444
Half Precision Score
659
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | nugaetechnicae |
| Upload Date | July 15 2025 03:08 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
531
98.7 IPS |
|
|
Image Classification (HP)
|
100% |
2805
521.7 IPS |
|
|
Image Classification (Q)
|
97% |
249
46.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
412
6.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
459
7.45 IPS |
|
|
Image Segmentation (Q)
|
99% |
281
4.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
2675
3.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
26878
31.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
2975
3.49 IPS |
|
|
Object Detection (SP)
|
100% |
508
40.3 IPS |
|
|
Object Detection (HP)
|
100% |
2495
197.9 IPS |
|
|
Object Detection (Q)
|
94% |
252
20.1 IPS |
|
|
Face Detection (SP)
|
100% |
1060
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
6939
82.5 IPS |
|
|
Face Detection (Q)
|
100% |
328
3.90 IPS |
|
|
Depth Estimation (SP)
|
100% |
1578
12.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
21622
166.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
912
7.13 IPS |
|
|
Style Transfer (SP)
|
100% |
4292
5.52 IPS |
|
|
Style Transfer (HP)
|
100% |
9477
12.2 IPS |
|
|
Style Transfer (Q)
|
96% |
3954
5.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1666
61.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4283
158.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
560
20.7 IPS |
|
|
Text Classification (SP)
|
100% |
767
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
450
601.1 IPS |
|
|
Text Classification (Q)
|
93% |
454
608.8 IPS |
|
|
Machine Translation (SP)
|
100% |
675
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
995
17.1 IPS |
|
|
Machine Translation (Q)
|
98% |
984
17.0 IPS |
