iPhone 11 Pro
Geekbench AI Score
1740
Single Precision Score
3161
Half Precision Score
2603
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | sw0000 |
| Upload Date | January 26 2025 10:17 PM |
| 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% |
789
146.7 IPS |
|
|
Image Classification (HP)
|
100% |
1388
258.1 IPS |
|
|
Image Classification (Q)
|
96% |
983
183.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
815
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1285
20.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1469
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3683
4.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
6673
7.79 IPS |
|
|
Pose Estimation (Q)
|
95% |
5925
6.94 IPS |
|
|
Object Detection (SP)
|
100% |
737
58.5 IPS |
|
|
Object Detection (HP)
|
97% |
1625
129.3 IPS |
|
|
Object Detection (Q)
|
94% |
1172
93.4 IPS |
|
|
Face Detection (SP)
|
100% |
1649
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
3242
38.5 IPS |
|
|
Face Detection (Q)
|
100% |
1875
22.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3201
24.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
5976
46.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
4359
34.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7926
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
14179
18.2 IPS |
|
|
Style Transfer (Q)
|
96% |
12244
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2064
76.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2706
99.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2104
77.7 IPS |
|
|
Text Classification (SP)
|
100% |
1297
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2159
2.88 KIPS |
|
|
Text Classification (Q)
|
93% |
2144
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1304
22.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3212
55.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3156
54.5 IPS |
