iPhone 11
Geekbench AI Score
1060
Single Precision Score
3428
Half Precision Score
650
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | smajor |
| Upload Date | July 22 2025 08:58 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
532
98.9 IPS |
|
|
Image Classification (HP)
|
100% |
2851
530.2 IPS |
|
|
Image Classification (Q)
|
97% |
255
47.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
415
6.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
457
7.41 IPS |
|
|
Image Segmentation (Q)
|
99% |
283
4.59 IPS |
|
|
Pose Estimation (SP)
|
100% |
2724
3.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
26125
30.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
2921
3.42 IPS |
|
|
Object Detection (SP)
|
100% |
491
38.9 IPS |
|
|
Object Detection (HP)
|
100% |
2515
199.5 IPS |
|
|
Object Detection (Q)
|
94% |
243
19.3 IPS |
|
|
Face Detection (SP)
|
100% |
1051
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
6692
79.5 IPS |
|
|
Face Detection (Q)
|
100% |
322
3.83 IPS |
|
|
Depth Estimation (SP)
|
100% |
1558
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22321
172.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
884
6.91 IPS |
|
|
Style Transfer (SP)
|
100% |
4366
5.61 IPS |
|
|
Style Transfer (HP)
|
100% |
9392
12.1 IPS |
|
|
Style Transfer (Q)
|
96% |
3842
4.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1661
61.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4215
155.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
551
20.3 IPS |
|
|
Text Classification (SP)
|
100% |
775
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
461
614.9 IPS |
|
|
Text Classification (Q)
|
93% |
460
616.9 IPS |
|
|
Machine Translation (SP)
|
100% |
661
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
961
16.6 IPS |
|
|
Machine Translation (Q)
|
98% |
952
16.5 IPS |
