iPhone 11 Pro
Geekbench AI Score
1644
Single Precision Score
3130
Half Precision Score
2598
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 23 2025 09:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
705
131.1 IPS |
|
|
Image Classification (HP)
|
100% |
1349
250.9 IPS |
|
|
Image Classification (Q)
|
96% |
978
182.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
783
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1251
20.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1434
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3451
4.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
6462
7.54 IPS |
|
|
Pose Estimation (Q)
|
95% |
5759
6.75 IPS |
|
|
Object Detection (SP)
|
100% |
685
54.3 IPS |
|
|
Object Detection (HP)
|
97% |
1605
127.8 IPS |
|
|
Object Detection (Q)
|
94% |
1174
93.6 IPS |
|
|
Face Detection (SP)
|
100% |
1618
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
3228
38.4 IPS |
|
|
Face Detection (Q)
|
100% |
1860
22.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3048
23.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
5939
45.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
4346
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7685
9.88 IPS |
|
|
Style Transfer (HP)
|
100% |
14474
18.6 IPS |
|
|
Style Transfer (Q)
|
96% |
12344
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1979
73.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2764
102.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2165
80.0 IPS |
|
|
Text Classification (SP)
|
100% |
1357
1.81 KIPS |
|
|
Text Classification (HP)
|
99% |
2095
2.80 KIPS |
|
|
Text Classification (Q)
|
93% |
2095
2.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1092
18.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3215
55.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3275
56.6 IPS |
