iPhone 11
Geekbench AI Score
1652
Single Precision Score
3118
Half Precision Score
2549
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | nugaetechnicae |
| Upload Date | July 17 2025 03:39 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
797
148.2 IPS |
|
|
Image Classification (HP)
|
100% |
1374
255.5 IPS |
|
|
Image Classification (Q)
|
96% |
977
182.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
781
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1167
18.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1351
21.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3488
4.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
6415
7.49 IPS |
|
|
Pose Estimation (Q)
|
95% |
5661
6.64 IPS |
|
|
Object Detection (SP)
|
100% |
700
55.5 IPS |
|
|
Object Detection (HP)
|
97% |
1563
124.4 IPS |
|
|
Object Detection (Q)
|
94% |
1147
91.4 IPS |
|
|
Face Detection (SP)
|
100% |
1588
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
3123
37.1 IPS |
|
|
Face Detection (Q)
|
100% |
1803
21.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2969
22.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
5492
42.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
4099
32.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7419
9.54 IPS |
|
|
Style Transfer (HP)
|
100% |
14434
18.6 IPS |
|
|
Style Transfer (Q)
|
96% |
12290
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1855
68.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2608
96.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2071
76.5 IPS |
|
|
Text Classification (SP)
|
100% |
1310
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2690
3.59 KIPS |
|
|
Text Classification (Q)
|
93% |
2251
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1178
20.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3117
53.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3199
55.3 IPS |
