iPhone 11 Pro
Geekbench AI Score
1613
Single Precision Score
3202
Half Precision Score
2632
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 31 2024 12:40 AM |
| 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% |
364
67.7 IPS |
|
|
Image Classification (HP)
|
100% |
1370
254.7 IPS |
|
|
Image Classification (Q)
|
96% |
987
184.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
800
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1272
20.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1460
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3655
4.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
6671
7.78 IPS |
|
|
Pose Estimation (Q)
|
95% |
5901
6.92 IPS |
|
|
Object Detection (SP)
|
100% |
742
58.8 IPS |
|
|
Object Detection (HP)
|
97% |
1637
130.3 IPS |
|
|
Object Detection (Q)
|
94% |
1189
94.8 IPS |
|
|
Face Detection (SP)
|
100% |
1672
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
3270
38.9 IPS |
|
|
Face Detection (Q)
|
100% |
1877
22.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3199
24.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
5942
45.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
4378
34.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7834
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14595
18.8 IPS |
|
|
Style Transfer (Q)
|
96% |
12466
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2089
77.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2832
104.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2142
79.1 IPS |
|
|
Text Classification (SP)
|
100% |
1321
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2231
2.98 KIPS |
|
|
Text Classification (Q)
|
93% |
2211
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1310
22.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3328
57.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3263
56.4 IPS |
