iPhone 11 Pro
Geekbench AI Score
1690
Single Precision Score
3127
Half Precision Score
2562
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 12:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
795
147.8 IPS |
|
|
Image Classification (HP)
|
100% |
1387
258.0 IPS |
|
|
Image Classification (Q)
|
96% |
988
184.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
815
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1275
20.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1482
24.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3602
4.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
6552
7.65 IPS |
|
|
Pose Estimation (Q)
|
95% |
5844
6.85 IPS |
|
|
Object Detection (SP)
|
100% |
752
59.6 IPS |
|
|
Object Detection (HP)
|
97% |
1619
128.9 IPS |
|
|
Object Detection (Q)
|
94% |
1165
92.8 IPS |
|
|
Face Detection (SP)
|
100% |
1654
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
3258
38.7 IPS |
|
|
Face Detection (Q)
|
100% |
1865
22.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3136
24.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
5948
46.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
4249
33.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6738
8.66 IPS |
|
|
Style Transfer (HP)
|
100% |
13792
17.7 IPS |
|
|
Style Transfer (Q)
|
96% |
11663
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1986
73.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2711
100.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2105
77.7 IPS |
|
|
Text Classification (SP)
|
100% |
1281
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2156
2.88 KIPS |
|
|
Text Classification (Q)
|
93% |
2218
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1221
21.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3053
52.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2836
49.0 IPS |
