iPhone 11 (A2111) iPhone 11
Geekbench AI Score
929
Single Precision Score
1127
Half Precision Score
503
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 07:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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% |
300
55.9 IPS |
|
|
Image Classification (HP)
|
100% |
362
67.3 IPS |
|
|
Image Classification (Q)
|
97% |
242
45.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
316
5.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
344
5.57 IPS |
|
|
Image Segmentation (Q)
|
99% |
343
5.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
2366
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3204
3.74 IPS |
|
|
Pose Estimation (Q)
|
95% |
1208
1.42 IPS |
|
|
Object Detection (SP)
|
100% |
702
55.7 IPS |
|
|
Object Detection (HP)
|
100% |
665
52.8 IPS |
|
|
Object Detection (Q)
|
94% |
298
23.8 IPS |
|
|
Face Detection (SP)
|
100% |
2535
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
3351
39.8 IPS |
|
|
Face Detection (Q)
|
100% |
397
4.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
2485
19.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3515
27.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
1030
8.04 IPS |
|
|
Style Transfer (SP)
|
100% |
6116
7.86 IPS |
|
|
Style Transfer (HP)
|
100% |
8509
10.9 IPS |
|
|
Style Transfer (Q)
|
96% |
2114
2.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1219
45.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1369
50.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
459
16.9 IPS |
|
|
Text Classification (SP)
|
100% |
235
314.0 IPS |
|
|
Text Classification (HP)
|
100% |
373
497.9 IPS |
|
|
Text Classification (Q)
|
93% |
366
491.8 IPS |
|
|
Machine Translation (SP)
|
100% |
276
4.75 IPS |
|
|
Machine Translation (HP)
|
100% |
245
4.22 IPS |
|
|
Machine Translation (Q)
|
98% |
239
4.13 IPS |
