iPhone 11
Geekbench AI Score
692
Single Precision Score
2400
Half Precision Score
474
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | gumieProf |
| Upload Date | April 25 2025 09:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
317
58.9 IPS |
|
|
Image Classification (HP)
|
100% |
1812
337.0 IPS |
|
|
Image Classification (Q)
|
97% |
165
30.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
256
4.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
317
5.14 IPS |
|
|
Image Segmentation (Q)
|
99% |
194
3.15 IPS |
|
|
Pose Estimation (SP)
|
100% |
1735
2.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
19184
22.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
2317
2.71 IPS |
|
|
Object Detection (SP)
|
100% |
318
25.2 IPS |
|
|
Object Detection (HP)
|
100% |
1690
134.1 IPS |
|
|
Object Detection (Q)
|
94% |
188
15.0 IPS |
|
|
Face Detection (SP)
|
100% |
694
8.25 IPS |
|
|
Face Detection (HP)
|
100% |
4846
57.6 IPS |
|
|
Face Detection (Q)
|
100% |
254
3.02 IPS |
|
|
Depth Estimation (SP)
|
100% |
1148
8.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
18499
142.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
685
5.35 IPS |
|
|
Style Transfer (SP)
|
100% |
3099
3.98 IPS |
|
|
Style Transfer (HP)
|
100% |
6710
8.63 IPS |
|
|
Style Transfer (Q)
|
96% |
3034
3.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
937
34.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2818
104.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
417
15.4 IPS |
|
|
Text Classification (SP)
|
100% |
495
661.0 IPS |
|
|
Text Classification (HP)
|
100% |
295
393.8 IPS |
|
|
Text Classification (Q)
|
93% |
281
377.4 IPS |
|
|
Machine Translation (SP)
|
100% |
497
8.56 IPS |
|
|
Machine Translation (HP)
|
100% |
682
11.8 IPS |
|
|
Machine Translation (Q)
|
98% |
675
11.7 IPS |
