iPhone 11
Geekbench AI Score
1068
Single Precision Score
3441
Half Precision Score
652
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 07 2025 05:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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% |
542
100.8 IPS |
|
|
Image Classification (HP)
|
100% |
2800
520.7 IPS |
|
|
Image Classification (Q)
|
97% |
269
50.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
433
7.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
485
7.87 IPS |
|
|
Image Segmentation (Q)
|
99% |
298
4.84 IPS |
|
|
Pose Estimation (SP)
|
100% |
2915
3.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
27781
32.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
2995
3.51 IPS |
|
|
Object Detection (SP)
|
100% |
502
39.8 IPS |
|
|
Object Detection (HP)
|
100% |
2519
199.8 IPS |
|
|
Object Detection (Q)
|
94% |
246
19.6 IPS |
|
|
Face Detection (SP)
|
100% |
1060
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
6806
80.9 IPS |
|
|
Face Detection (Q)
|
100% |
324
3.86 IPS |
|
|
Depth Estimation (SP)
|
100% |
1589
12.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
21378
164.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
888
6.93 IPS |
|
|
Style Transfer (SP)
|
100% |
4129
5.31 IPS |
|
|
Style Transfer (HP)
|
100% |
8726
11.2 IPS |
|
|
Style Transfer (Q)
|
96% |
3604
4.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1634
60.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4292
158.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
529
19.5 IPS |
|
|
Text Classification (SP)
|
100% |
763
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
454
605.5 IPS |
|
|
Text Classification (Q)
|
93% |
453
608.4 IPS |
|
|
Machine Translation (SP)
|
100% |
653
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
990
17.0 IPS |
|
|
Machine Translation (Q)
|
98% |
952
16.5 IPS |
