iPhone 11 Pro
Geekbench AI Score
1745
Single Precision Score
3161
Half Precision Score
2614
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 24 2025 10:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
797
148.3 IPS |
|
|
Image Classification (HP)
|
100% |
1391
258.7 IPS |
|
|
Image Classification (Q)
|
96% |
989
184.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
813
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1279
20.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1475
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3681
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
6663
7.77 IPS |
|
|
Pose Estimation (Q)
|
95% |
5897
6.91 IPS |
|
|
Object Detection (SP)
|
100% |
745
59.1 IPS |
|
|
Object Detection (HP)
|
97% |
1624
129.3 IPS |
|
|
Object Detection (Q)
|
94% |
1172
93.4 IPS |
|
|
Face Detection (SP)
|
100% |
1660
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
3254
38.7 IPS |
|
|
Face Detection (Q)
|
100% |
1883
22.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3198
24.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
5987
46.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
4384
34.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7904
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
14172
18.2 IPS |
|
|
Style Transfer (Q)
|
96% |
12247
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2069
76.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2687
99.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2104
77.7 IPS |
|
|
Text Classification (SP)
|
100% |
1297
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2156
2.88 KIPS |
|
|
Text Classification (Q)
|
93% |
2153
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1314
22.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3244
56.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3227
55.8 IPS |
