iPhone 11 Pro
Geekbench AI Score
1607
Single Precision Score
2698
Half Precision Score
2253
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| Upload Date | August 21 2024 10:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
763
142.0 IPS |
|
|
Image Classification (HP)
|
100% |
1146
213.1 IPS |
|
|
Image Classification (Q)
|
99% |
1148
214.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
708
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
772
12.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
775
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3541
4.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
6526
7.61 IPS |
|
|
Pose Estimation (Q)
|
96% |
5743
6.73 IPS |
|
|
Object Detection (SP)
|
100% |
683
54.1 IPS |
|
|
Object Detection (HP)
|
97% |
1312
104.4 IPS |
|
|
Object Detection (Q)
|
94% |
1007
80.3 IPS |
|
|
Face Detection (SP)
|
100% |
1377
16.4 IPS |
|
|
Face Detection (HP)
|
100% |
2654
31.5 IPS |
|
|
Face Detection (Q)
|
100% |
1645
19.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2872
22.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4848
37.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
2454
19.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7141
9.18 IPS |
|
|
Style Transfer (HP)
|
100% |
13412
17.2 IPS |
|
|
Style Transfer (Q)
|
100% |
13416
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1936
71.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2638
97.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2098
77.7 IPS |
|
|
Text Classification (SP)
|
100% |
1424
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
2461
3.29 KIPS |
|
|
Text Classification (Q)
|
93% |
2386
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1134
19.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2414
41.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2417
41.8 IPS |
