iPhone 11
Geekbench AI Score
1591
Single Precision Score
2697
Half Precision Score
2232
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| Upload Date | August 22 2024 12:45 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
774
143.9 IPS |
|
|
Image Classification (HP)
|
100% |
1152
214.2 IPS |
|
|
Image Classification (Q)
|
99% |
1149
214.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
706
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
785
12.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
770
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3473
4.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
6327
7.38 IPS |
|
|
Pose Estimation (Q)
|
96% |
5612
6.58 IPS |
|
|
Object Detection (SP)
|
100% |
676
53.6 IPS |
|
|
Object Detection (HP)
|
97% |
1293
102.9 IPS |
|
|
Object Detection (Q)
|
94% |
1000
79.7 IPS |
|
|
Face Detection (SP)
|
100% |
1348
16.0 IPS |
|
|
Face Detection (HP)
|
100% |
2620
31.1 IPS |
|
|
Face Detection (Q)
|
100% |
1587
18.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2874
22.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4843
37.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
2438
18.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7065
9.08 IPS |
|
|
Style Transfer (HP)
|
100% |
13548
17.4 IPS |
|
|
Style Transfer (Q)
|
100% |
13560
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1951
72.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2766
102.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2091
77.5 IPS |
|
|
Text Classification (SP)
|
100% |
1415
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
2408
3.21 KIPS |
|
|
Text Classification (Q)
|
93% |
2362
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1077
18.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2405
41.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2394
41.4 IPS |
