iPhone 11 Pro
Geekbench AI Score
1741
Single Precision Score
3183
Half Precision Score
2615
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | vtomi07 |
| Upload Date | December 11 2024 10:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
795
147.8 IPS |
|
|
Image Classification (HP)
|
100% |
1385
257.6 IPS |
|
|
Image Classification (Q)
|
96% |
983
183.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
809
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1280
20.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1469
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3676
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
6646
7.75 IPS |
|
|
Pose Estimation (Q)
|
95% |
5934
6.96 IPS |
|
|
Object Detection (SP)
|
100% |
739
58.6 IPS |
|
|
Object Detection (HP)
|
97% |
1624
129.3 IPS |
|
|
Object Detection (Q)
|
94% |
1171
93.4 IPS |
|
|
Face Detection (SP)
|
100% |
1654
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
3248
38.6 IPS |
|
|
Face Detection (Q)
|
100% |
1873
22.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3198
24.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
5965
46.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
4372
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7919
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
14433
18.6 IPS |
|
|
Style Transfer (Q)
|
96% |
12254
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2065
76.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2827
104.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2103
77.7 IPS |
|
|
Text Classification (SP)
|
100% |
1298
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2184
2.91 KIPS |
|
|
Text Classification (Q)
|
93% |
2170
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1305
22.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3238
56.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3262
56.4 IPS |
