iPhone 11
Geekbench AI Score
858
Single Precision Score
1101
Half Precision Score
515
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 13 2025 06:53 PM |
| Views | 14 |
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% |
297
55.2 IPS |
|
|
Image Classification (HP)
|
100% |
381
70.8 IPS |
|
|
Image Classification (Q)
|
97% |
243
45.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
314
5.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
346
5.61 IPS |
|
|
Image Segmentation (Q)
|
99% |
345
5.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
2374
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3211
3.75 IPS |
|
|
Pose Estimation (Q)
|
95% |
1289
1.51 IPS |
|
|
Object Detection (SP)
|
100% |
632
50.2 IPS |
|
|
Object Detection (HP)
|
100% |
641
50.9 IPS |
|
|
Object Detection (Q)
|
94% |
298
23.8 IPS |
|
|
Face Detection (SP)
|
100% |
2583
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
3364
40.0 IPS |
|
|
Face Detection (Q)
|
100% |
390
4.64 IPS |
|
|
Depth Estimation (SP)
|
100% |
2535
19.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3478
26.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
1028
8.02 IPS |
|
|
Style Transfer (SP)
|
100% |
5967
7.67 IPS |
|
|
Style Transfer (HP)
|
100% |
5636
7.25 IPS |
|
|
Style Transfer (Q)
|
96% |
2177
2.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1201
44.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1384
51.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
461
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
98
130.7 IPS |
|
|
Text Classification (HP)
|
100% |
401
535.7 IPS |
|
|
Text Classification (Q)
|
93% |
403
541.3 IPS |
|
|
Machine Translation (SP)
|
100% |
337
5.81 IPS |
|
|
Machine Translation (HP)
|
100% |
265
4.56 IPS |
|
|
Machine Translation (Q)
|
98% |
255
4.41 IPS |
