iPhone 11 Pro
Geekbench AI Score
1171
Single Precision Score
3504
Half Precision Score
715
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 04:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
551
102.5 IPS |
|
|
Image Classification (HP)
|
100% |
2698
501.8 IPS |
|
|
Image Classification (Q)
|
97% |
278
52.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
442
7.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
496
8.04 IPS |
|
|
Image Segmentation (Q)
|
99% |
316
5.12 IPS |
|
|
Pose Estimation (SP)
|
100% |
3415
3.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
27782
32.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
3566
4.18 IPS |
|
|
Object Detection (SP)
|
100% |
572
45.3 IPS |
|
|
Object Detection (HP)
|
100% |
2499
198.2 IPS |
|
|
Object Detection (Q)
|
94% |
289
23.0 IPS |
|
|
Face Detection (SP)
|
100% |
1136
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
6879
81.7 IPS |
|
|
Face Detection (Q)
|
100% |
391
4.65 IPS |
|
|
Depth Estimation (SP)
|
100% |
1972
15.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22964
176.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
957
7.48 IPS |
|
|
Style Transfer (SP)
|
100% |
4496
5.78 IPS |
|
|
Style Transfer (HP)
|
100% |
9642
12.4 IPS |
|
|
Style Transfer (Q)
|
96% |
4108
5.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1696
62.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4354
160.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
569
21.0 IPS |
|
|
Text Classification (SP)
|
100% |
759
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
455
606.7 IPS |
|
|
Text Classification (Q)
|
93% |
447
600.1 IPS |
|
|
Machine Translation (SP)
|
100% |
789
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
998
17.2 IPS |
|
|
Machine Translation (Q)
|
98% |
990
17.1 IPS |
