iPhone 11 Pro
Geekbench AI Score
1209
Single Precision Score
3682
Half Precision Score
755
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 28 2025 10:57 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
546
101.5 IPS |
|
|
Image Classification (HP)
|
100% |
2781
517.2 IPS |
|
|
Image Classification (Q)
|
97% |
278
52.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
437
7.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
494
8.01 IPS |
|
|
Image Segmentation (Q)
|
99% |
315
5.11 IPS |
|
|
Pose Estimation (SP)
|
100% |
3375
3.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
29384
34.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
3543
4.15 IPS |
|
|
Object Detection (SP)
|
100% |
575
45.6 IPS |
|
|
Object Detection (HP)
|
100% |
2459
195.1 IPS |
|
|
Object Detection (Q)
|
94% |
293
23.4 IPS |
|
|
Face Detection (SP)
|
100% |
1145
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
7291
86.6 IPS |
|
|
Face Detection (Q)
|
100% |
401
4.77 IPS |
|
|
Depth Estimation (SP)
|
100% |
2018
15.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
25826
199.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
1077
8.41 IPS |
|
|
Style Transfer (SP)
|
100% |
5542
7.12 IPS |
|
|
Style Transfer (HP)
|
100% |
10999
14.1 IPS |
|
|
Style Transfer (Q)
|
96% |
4743
6.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1701
62.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4402
162.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
644
23.8 IPS |
|
|
Text Classification (SP)
|
100% |
774
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
464
619.3 IPS |
|
|
Text Classification (Q)
|
93% |
462
620.2 IPS |
|
|
Machine Translation (SP)
|
100% |
858
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1092
18.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1099
19.0 IPS |
