iPhone 11
Geekbench AI Score
1622
Single Precision Score
2704
Half Precision Score
2264
Quantized Score
Geekbench AI 1.0.0 Corporate for iOS AArch64
Result Information
| Upload Date | August 11 2024 07:31 PM |
| Views | 17 |
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% |
754
140.3 IPS |
|
|
Image Classification (HP)
|
100% |
1143
212.5 IPS |
|
|
Image Classification (Q)
|
99% |
1140
212.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
705
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
772
12.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
777
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3647
4.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
6631
7.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
5808
6.81 IPS |
|
|
Object Detection (SP)
|
100% |
692
54.9 IPS |
|
|
Object Detection (HP)
|
97% |
1318
104.9 IPS |
|
|
Object Detection (Q)
|
94% |
1007
80.2 IPS |
|
|
Face Detection (SP)
|
100% |
1376
16.4 IPS |
|
|
Face Detection (HP)
|
100% |
2646
31.4 IPS |
|
|
Face Detection (Q)
|
100% |
1645
19.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2903
22.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4861
37.6 IPS |
|
|
Depth Estimation (Q)
|
96% |
2536
19.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7201
9.26 IPS |
|
|
Style Transfer (HP)
|
100% |
13516
17.4 IPS |
|
|
Style Transfer (Q)
|
100% |
13680
17.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1957
72.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2683
99.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2097
77.7 IPS |
|
|
Text Classification (SP)
|
100% |
1420
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
2428
3.24 KIPS |
|
|
Text Classification (Q)
|
93% |
2385
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1176
20.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2395
41.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2395
41.4 IPS |
