iPhone 11
Geekbench AI Score
979
Single Precision Score
3242
Half Precision Score
595
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | hello-world |
| Upload Date | April 19 2025 04:53 PM |
| Views | 4 |
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% |
529
98.5 IPS |
|
|
Image Classification (HP)
|
100% |
2845
529.2 IPS |
|
|
Image Classification (Q)
|
97% |
242
45.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
399
6.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
440
7.13 IPS |
|
|
Image Segmentation (Q)
|
99% |
261
4.23 IPS |
|
|
Pose Estimation (SP)
|
100% |
2300
2.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
25613
29.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
2930
3.43 IPS |
|
|
Object Detection (SP)
|
100% |
491
39.0 IPS |
|
|
Object Detection (HP)
|
100% |
2462
195.3 IPS |
|
|
Object Detection (Q)
|
94% |
243
19.4 IPS |
|
|
Face Detection (SP)
|
100% |
1042
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
6840
81.3 IPS |
|
|
Face Detection (Q)
|
100% |
321
3.82 IPS |
|
|
Depth Estimation (SP)
|
100% |
1444
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
20518
158.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
642
5.01 IPS |
|
|
Style Transfer (SP)
|
100% |
2976
3.83 IPS |
|
|
Style Transfer (HP)
|
100% |
7181
9.23 IPS |
|
|
Style Transfer (Q)
|
96% |
3209
4.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1594
58.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4035
149.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
501
18.5 IPS |
|
|
Text Classification (SP)
|
100% |
763
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
448
598.1 IPS |
|
|
Text Classification (Q)
|
93% |
419
562.9 IPS |
|
|
Machine Translation (SP)
|
100% |
626
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
893
15.4 IPS |
|
|
Machine Translation (Q)
|
98% |
905
15.6 IPS |
