iPhone 11
Geekbench AI Score
908
Single Precision Score
1127
Half Precision Score
505
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | attibug |
| Upload Date | March 19 2025 02:39 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
285
52.9 IPS |
|
|
Image Classification (HP)
|
100% |
369
68.6 IPS |
|
|
Image Classification (Q)
|
97% |
241
45.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
320
5.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
349
5.66 IPS |
|
|
Image Segmentation (Q)
|
99% |
347
5.62 IPS |
|
|
Pose Estimation (SP)
|
100% |
2371
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3211
3.75 IPS |
|
|
Pose Estimation (Q)
|
95% |
1252
1.47 IPS |
|
|
Object Detection (SP)
|
100% |
607
48.1 IPS |
|
|
Object Detection (HP)
|
100% |
659
52.3 IPS |
|
|
Object Detection (Q)
|
94% |
299
23.8 IPS |
|
|
Face Detection (SP)
|
100% |
2558
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
3351
39.8 IPS |
|
|
Face Detection (Q)
|
100% |
398
4.72 IPS |
|
|
Depth Estimation (SP)
|
100% |
2520
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3526
27.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
1033
8.06 IPS |
|
|
Style Transfer (SP)
|
100% |
6126
7.87 IPS |
|
|
Style Transfer (HP)
|
100% |
8523
11.0 IPS |
|
|
Style Transfer (Q)
|
96% |
2100
2.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1215
44.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1304
48.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
462
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
230
307.3 IPS |
|
|
Text Classification (HP)
|
100% |
407
543.5 IPS |
|
|
Text Classification (Q)
|
93% |
406
544.7 IPS |
|
|
Machine Translation (SP)
|
100% |
264
4.55 IPS |
|
|
Machine Translation (HP)
|
100% |
227
3.90 IPS |
|
|
Machine Translation (Q)
|
98% |
214
3.69 IPS |
