iPhone 11
Geekbench AI Score
1191
Single Precision Score
3659
Half Precision Score
744
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 06 2025 12:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
547
101.7 IPS |
|
|
Image Classification (HP)
|
100% |
2727
507.1 IPS |
|
|
Image Classification (Q)
|
97% |
277
51.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
438
7.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
496
8.04 IPS |
|
|
Image Segmentation (Q)
|
99% |
314
5.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
3330
3.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
29514
34.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
3575
4.19 IPS |
|
|
Object Detection (SP)
|
100% |
576
45.7 IPS |
|
|
Object Detection (HP)
|
100% |
2489
197.4 IPS |
|
|
Object Detection (Q)
|
94% |
294
23.4 IPS |
|
|
Face Detection (SP)
|
100% |
1148
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
7218
85.8 IPS |
|
|
Face Detection (Q)
|
100% |
386
4.58 IPS |
|
|
Depth Estimation (SP)
|
100% |
1936
14.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
25576
197.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
1057
8.25 IPS |
|
|
Style Transfer (SP)
|
100% |
5281
6.79 IPS |
|
|
Style Transfer (HP)
|
100% |
10846
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
4610
5.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1666
61.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4448
164.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
636
23.5 IPS |
|
|
Text Classification (SP)
|
100% |
767
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
458
610.9 IPS |
|
|
Text Classification (Q)
|
93% |
457
613.9 IPS |
|
|
Machine Translation (SP)
|
100% |
840
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1062
18.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1047
18.1 IPS |
