iPhone 11
Geekbench AI Score
1583
Single Precision Score
2688
Half Precision Score
2239
Quantized Score
Geekbench AI 1.0.0 Corporate for iOS AArch64
Result Information
| Upload Date | August 11 2024 10:50 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
739
137.5 IPS |
|
|
Image Classification (HP)
|
100% |
1141
212.2 IPS |
|
|
Image Classification (Q)
|
99% |
1143
213.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
704
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
778
12.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
778
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3581
4.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
6559
7.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
5750
6.74 IPS |
|
|
Object Detection (SP)
|
100% |
690
54.7 IPS |
|
|
Object Detection (HP)
|
97% |
1307
104.1 IPS |
|
|
Object Detection (Q)
|
94% |
1008
80.3 IPS |
|
|
Face Detection (SP)
|
100% |
1369
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
2641
31.4 IPS |
|
|
Face Detection (Q)
|
100% |
1632
19.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2442
18.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4712
36.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
2316
17.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6909
8.88 IPS |
|
|
Style Transfer (HP)
|
100% |
13570
17.4 IPS |
|
|
Style Transfer (Q)
|
100% |
13594
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2013
74.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2689
99.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2091
77.5 IPS |
|
|
Text Classification (SP)
|
100% |
1420
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
2402
3.21 KIPS |
|
|
Text Classification (Q)
|
93% |
2399
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1170
20.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2374
41.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2384
41.2 IPS |
