iPhone 11
Geekbench AI Score
854
Single Precision Score
1111
Half Precision Score
497
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 11 2025 04:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
383
71.2 IPS |
|
|
Image Classification (Q)
|
97% |
242
45.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
312
5.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
352
5.71 IPS |
|
|
Image Segmentation (Q)
|
99% |
338
5.48 IPS |
|
|
Pose Estimation (SP)
|
100% |
2334
2.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
2962
3.46 IPS |
|
|
Pose Estimation (Q)
|
95% |
1293
1.52 IPS |
|
|
Object Detection (SP)
|
100% |
557
44.2 IPS |
|
|
Object Detection (HP)
|
100% |
655
52.0 IPS |
|
|
Object Detection (Q)
|
94% |
273
21.8 IPS |
|
|
Face Detection (SP)
|
100% |
2609
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
3332
39.6 IPS |
|
|
Face Detection (Q)
|
100% |
357
4.24 IPS |
|
|
Depth Estimation (SP)
|
100% |
2517
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3346
25.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
976
7.62 IPS |
|
|
Style Transfer (SP)
|
100% |
6137
7.89 IPS |
|
|
Style Transfer (HP)
|
100% |
8023
10.3 IPS |
|
|
Style Transfer (Q)
|
96% |
2087
2.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1201
44.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1258
46.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
460
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
98
130.4 IPS |
|
|
Text Classification (HP)
|
100% |
396
529.1 IPS |
|
|
Text Classification (Q)
|
93% |
398
533.5 IPS |
|
|
Machine Translation (SP)
|
100% |
339
5.84 IPS |
|
|
Machine Translation (HP)
|
100% |
248
4.27 IPS |
|
|
Machine Translation (Q)
|
98% |
243
4.20 IPS |
