iPhone 11
Geekbench AI Score
1165
Single Precision Score
3549
Half Precision Score
718
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | hrdc0r3 |
| Upload Date | March 14 2025 11:57 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
548
101.9 IPS |
|
|
Image Classification (HP)
|
100% |
2710
504.0 IPS |
|
|
Image Classification (Q)
|
97% |
278
51.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
438
7.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
493
7.99 IPS |
|
|
Image Segmentation (Q)
|
99% |
313
5.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
3180
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
28395
33.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
3533
4.14 IPS |
|
|
Object Detection (SP)
|
100% |
574
45.5 IPS |
|
|
Object Detection (HP)
|
100% |
2415
191.6 IPS |
|
|
Object Detection (Q)
|
94% |
251
20.0 IPS |
|
|
Face Detection (SP)
|
100% |
1074
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
6834
81.2 IPS |
|
|
Face Detection (Q)
|
100% |
354
4.21 IPS |
|
|
Depth Estimation (SP)
|
100% |
1857
14.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
23450
180.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
1019
7.96 IPS |
|
|
Style Transfer (SP)
|
100% |
5080
6.53 IPS |
|
|
Style Transfer (HP)
|
100% |
10397
13.4 IPS |
|
|
Style Transfer (Q)
|
96% |
4468
5.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1612
59.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4350
160.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
622
23.0 IPS |
|
|
Text Classification (SP)
|
100% |
772
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
460
614.3 IPS |
|
|
Text Classification (Q)
|
93% |
456
611.9 IPS |
|
|
Machine Translation (SP)
|
100% |
835
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1040
17.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1033
17.8 IPS |
