iPhone 11
Geekbench AI Score
1131
Single Precision Score
3564
Half Precision Score
706
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 14 2025 06:22 AM |
| Views | 3 |
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% |
545
101.3 IPS |
|
|
Image Classification (HP)
|
100% |
2891
537.7 IPS |
|
|
Image Classification (Q)
|
97% |
278
51.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
436
7.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
495
8.03 IPS |
|
|
Image Segmentation (Q)
|
99% |
311
5.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
3211
3.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
28932
33.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
3559
4.17 IPS |
|
|
Object Detection (SP)
|
100% |
574
45.5 IPS |
|
|
Object Detection (HP)
|
100% |
2524
200.2 IPS |
|
|
Object Detection (Q)
|
94% |
293
23.4 IPS |
|
|
Face Detection (SP)
|
100% |
1115
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
7265
86.3 IPS |
|
|
Face Detection (Q)
|
100% |
380
4.52 IPS |
|
|
Depth Estimation (SP)
|
100% |
1889
14.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
23294
179.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
946
7.39 IPS |
|
|
Style Transfer (SP)
|
100% |
4422
5.68 IPS |
|
|
Style Transfer (HP)
|
100% |
9619
12.4 IPS |
|
|
Style Transfer (Q)
|
96% |
3873
5.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1679
62.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4318
159.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
560
20.7 IPS |
|
|
Text Classification (SP)
|
100% |
752
1.00 KIPS |
|
|
Text Classification (HP)
|
100% |
457
609.7 IPS |
|
|
Text Classification (Q)
|
93% |
457
612.8 IPS |
|
|
Machine Translation (SP)
|
100% |
667
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
986
17.0 IPS |
|
|
Machine Translation (Q)
|
98% |
965
16.7 IPS |
