iPhone 11 Pro
Geekbench AI Score
1112
Single Precision Score
3488
Half Precision Score
701
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 23 2025 09:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| Model | iPhone 11 Pro |
| Model ID | iPhone12,3 |
| Motherboard | D421AP |
| 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 | 3.68 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
461
85.8 IPS |
|
|
Image Classification (HP)
|
100% |
2615
486.3 IPS |
|
|
Image Classification (Q)
|
97% |
220
41.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
329
5.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
434
7.04 IPS |
|
|
Image Segmentation (Q)
|
99% |
292
4.73 IPS |
|
|
Pose Estimation (SP)
|
100% |
3002
3.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
26348
30.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
3191
3.74 IPS |
|
|
Object Detection (SP)
|
100% |
543
43.1 IPS |
|
|
Object Detection (HP)
|
100% |
2581
204.7 IPS |
|
|
Object Detection (Q)
|
94% |
279
22.3 IPS |
|
|
Face Detection (SP)
|
100% |
1099
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
7287
86.6 IPS |
|
|
Face Detection (Q)
|
100% |
371
4.41 IPS |
|
|
Depth Estimation (SP)
|
100% |
1925
14.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
21566
166.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
1023
7.99 IPS |
|
|
Style Transfer (SP)
|
100% |
5263
6.77 IPS |
|
|
Style Transfer (HP)
|
100% |
10162
13.1 IPS |
|
|
Style Transfer (Q)
|
96% |
4452
5.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1679
62.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4396
162.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
607
22.4 IPS |
|
|
Text Classification (SP)
|
100% |
771
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
458
610.8 IPS |
|
|
Text Classification (Q)
|
93% |
459
615.4 IPS |
|
|
Machine Translation (SP)
|
100% |
813
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1077
18.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1071
18.5 IPS |
