iPhone 11
Geekbench AI Score
1177
Single Precision Score
3682
Half Precision Score
740
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 18 2025 04:18 AM |
| Views | 1 |
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% |
544
101.1 IPS |
|
|
Image Classification (HP)
|
100% |
3042
565.6 IPS |
|
|
Image Classification (Q)
|
97% |
278
51.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
441
7.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
509
8.25 IPS |
|
|
Image Segmentation (Q)
|
99% |
318
5.16 IPS |
|
|
Pose Estimation (SP)
|
100% |
3202
3.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
29540
34.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
3677
4.31 IPS |
|
|
Object Detection (SP)
|
100% |
581
46.1 IPS |
|
|
Object Detection (HP)
|
100% |
2626
208.3 IPS |
|
|
Object Detection (Q)
|
94% |
281
22.4 IPS |
|
|
Face Detection (SP)
|
100% |
1107
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
7191
85.5 IPS |
|
|
Face Detection (Q)
|
100% |
375
4.45 IPS |
|
|
Depth Estimation (SP)
|
100% |
1864
14.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22965
176.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
1037
8.10 IPS |
|
|
Style Transfer (SP)
|
100% |
5156
6.63 IPS |
|
|
Style Transfer (HP)
|
100% |
10631
13.7 IPS |
|
|
Style Transfer (Q)
|
96% |
4509
5.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1639
60.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4389
162.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
632
23.4 IPS |
|
|
Text Classification (SP)
|
100% |
779
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
463
618.4 IPS |
|
|
Text Classification (Q)
|
93% |
460
616.8 IPS |
|
|
Machine Translation (SP)
|
100% |
845
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1069
18.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1065
18.4 IPS |
