iPhone 11 Pro
Geekbench AI Score
1649
Single Precision Score
3123
Half Precision Score
2548
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 04:03 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
773
143.7 IPS |
|
|
Image Classification (HP)
|
100% |
1395
259.5 IPS |
|
|
Image Classification (Q)
|
96% |
979
182.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
810
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1272
20.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1431
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3605
4.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
6413
7.48 IPS |
|
|
Pose Estimation (Q)
|
95% |
5623
6.59 IPS |
|
|
Object Detection (SP)
|
100% |
722
57.2 IPS |
|
|
Object Detection (HP)
|
97% |
1572
125.1 IPS |
|
|
Object Detection (Q)
|
94% |
1146
91.4 IPS |
|
|
Face Detection (SP)
|
100% |
1565
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
3164
37.6 IPS |
|
|
Face Detection (Q)
|
100% |
1769
21.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3107
23.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
5884
45.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
4339
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7178
9.23 IPS |
|
|
Style Transfer (HP)
|
100% |
13812
17.8 IPS |
|
|
Style Transfer (Q)
|
96% |
11502
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1945
71.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2777
102.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2112
78.0 IPS |
|
|
Text Classification (SP)
|
100% |
1278
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2249
3.00 KIPS |
|
|
Text Classification (Q)
|
93% |
2217
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1052
18.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3074
53.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3094
53.5 IPS |
