iPhone 11
Geekbench AI Score
1211
Single Precision Score
2521
Half Precision Score
2097
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 01 2025 07:42 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
390
72.5 IPS |
|
|
Image Classification (HP)
|
100% |
609
113.3 IPS |
|
|
Image Classification (Q)
|
96% |
535
99.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
601
9.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
886
14.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1141
18.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1819
2.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
3608
4.21 IPS |
|
|
Pose Estimation (Q)
|
95% |
3498
4.10 IPS |
|
|
Object Detection (SP)
|
100% |
550
43.6 IPS |
|
|
Object Detection (HP)
|
97% |
1438
114.5 IPS |
|
|
Object Detection (Q)
|
94% |
1023
81.5 IPS |
|
|
Face Detection (SP)
|
100% |
1361
16.2 IPS |
|
|
Face Detection (HP)
|
100% |
2951
35.1 IPS |
|
|
Face Detection (Q)
|
100% |
1584
18.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2333
18.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
5428
42.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
3749
29.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5129
6.59 IPS |
|
|
Style Transfer (HP)
|
100% |
12700
16.3 IPS |
|
|
Style Transfer (Q)
|
96% |
10495
13.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1954
72.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2710
100.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2049
75.7 IPS |
|
|
Text Classification (SP)
|
100% |
1300
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2189
2.92 KIPS |
|
|
Text Classification (Q)
|
93% |
1984
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
701
12.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3072
53.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2985
51.6 IPS |
