iPhone 11
Geekbench AI Score
1709
Single Precision Score
3135
Half Precision Score
2593
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 21 2025 06:19 PM |
| Views | 4 |
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% |
789
146.7 IPS |
|
|
Image Classification (HP)
|
100% |
1395
259.5 IPS |
|
|
Image Classification (Q)
|
96% |
990
184.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
816
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1278
20.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1475
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3651
4.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
6510
7.60 IPS |
|
|
Pose Estimation (Q)
|
95% |
5827
6.83 IPS |
|
|
Object Detection (SP)
|
100% |
746
59.2 IPS |
|
|
Object Detection (HP)
|
97% |
1617
128.7 IPS |
|
|
Object Detection (Q)
|
94% |
1163
92.7 IPS |
|
|
Face Detection (SP)
|
100% |
1630
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
3232
38.4 IPS |
|
|
Face Detection (Q)
|
100% |
1862
22.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3098
23.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
5942
45.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
4346
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7304
9.39 IPS |
|
|
Style Transfer (HP)
|
100% |
13947
17.9 IPS |
|
|
Style Transfer (Q)
|
96% |
12178
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1985
73.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2712
100.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2106
77.8 IPS |
|
|
Text Classification (SP)
|
100% |
1297
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2153
2.87 KIPS |
|
|
Text Classification (Q)
|
93% |
2180
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1280
22.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3126
54.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3070
53.0 IPS |
