iPhone 11
Geekbench AI Score
929
Single Precision Score
1772
Half Precision Score
1487
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Hoomansht |
| Upload Date | July 06 2025 05:15 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
447
83.1 IPS |
|
|
Image Classification (HP)
|
100% |
718
133.6 IPS |
|
|
Image Classification (Q)
|
96% |
531
99.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
409
6.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
612
9.93 IPS |
|
|
Image Segmentation (Q)
|
99% |
728
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1817
2.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
3704
4.32 IPS |
|
|
Pose Estimation (Q)
|
95% |
3307
3.88 IPS |
|
|
Object Detection (SP)
|
100% |
389
30.9 IPS |
|
|
Object Detection (HP)
|
97% |
855
68.1 IPS |
|
|
Object Detection (Q)
|
94% |
635
50.6 IPS |
|
|
Face Detection (SP)
|
100% |
920
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
1726
20.5 IPS |
|
|
Face Detection (Q)
|
100% |
1057
12.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1657
12.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
3204
24.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
2346
18.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4065
5.23 IPS |
|
|
Style Transfer (HP)
|
100% |
8362
10.7 IPS |
|
|
Style Transfer (Q)
|
96% |
7175
9.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1084
40.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1666
61.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1291
47.7 IPS |
|
|
Text Classification (SP)
|
100% |
882
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
1560
2.08 KIPS |
|
|
Text Classification (Q)
|
93% |
1553
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
631
10.9 IPS |
|
|
Machine Translation (HP)
|
98% |
1828
31.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1827
31.6 IPS |
