iPhone 11 Pro
Geekbench AI Score
1208
Single Precision Score
3631
Half Precision Score
753
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | vtomi07 |
| Upload Date | December 11 2024 12:41 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
540
100.4 IPS |
|
|
Image Classification (HP)
|
100% |
2902
539.6 IPS |
|
|
Image Classification (Q)
|
97% |
278
52.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
445
7.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
506
8.21 IPS |
|
|
Image Segmentation (Q)
|
99% |
318
5.15 IPS |
|
|
Pose Estimation (SP)
|
100% |
3315
3.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
29234
34.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
3428
4.02 IPS |
|
|
Object Detection (SP)
|
100% |
576
45.7 IPS |
|
|
Object Detection (HP)
|
100% |
2453
194.6 IPS |
|
|
Object Detection (Q)
|
94% |
294
23.5 IPS |
|
|
Face Detection (SP)
|
100% |
1151
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
6979
82.9 IPS |
|
|
Face Detection (Q)
|
100% |
422
5.02 IPS |
|
|
Depth Estimation (SP)
|
100% |
2045
15.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
23310
179.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
1077
8.42 IPS |
|
|
Style Transfer (SP)
|
100% |
5680
7.30 IPS |
|
|
Style Transfer (HP)
|
100% |
10907
14.0 IPS |
|
|
Style Transfer (Q)
|
96% |
4717
6.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1746
64.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4457
164.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
643
23.7 IPS |
|
|
Text Classification (SP)
|
100% |
753
1.00 KIPS |
|
|
Text Classification (HP)
|
100% |
462
616.7 IPS |
|
|
Text Classification (Q)
|
93% |
459
616.3 IPS |
|
|
Machine Translation (SP)
|
100% |
823
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1036
17.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1051
18.2 IPS |
