iPhone 11 Pro
Geekbench AI Score
1641
Single Precision Score
2722
Half Precision Score
2266
Quantized Score
Geekbench AI 1.0.0 Corporate for iOS AArch64
Result Information
| Upload Date | August 11 2024 10:49 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
750
139.4 IPS |
|
|
Image Classification (HP)
|
100% |
1143
212.6 IPS |
|
|
Image Classification (Q)
|
99% |
1135
211.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
713
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
783
12.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
785
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3685
4.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
6744
7.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
5904
6.92 IPS |
|
|
Object Detection (SP)
|
100% |
684
54.2 IPS |
|
|
Object Detection (HP)
|
97% |
1329
105.8 IPS |
|
|
Object Detection (Q)
|
94% |
1027
81.9 IPS |
|
|
Face Detection (SP)
|
100% |
1401
16.7 IPS |
|
|
Face Detection (HP)
|
100% |
2687
31.9 IPS |
|
|
Face Detection (Q)
|
100% |
1664
19.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2917
22.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4911
37.9 IPS |
|
|
Depth Estimation (Q)
|
96% |
2540
19.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7536
9.69 IPS |
|
|
Style Transfer (HP)
|
100% |
13656
17.6 IPS |
|
|
Style Transfer (Q)
|
100% |
13618
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2071
76.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2681
99.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2101
77.8 IPS |
|
|
Text Classification (SP)
|
100% |
1421
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
2409
3.22 KIPS |
|
|
Text Classification (Q)
|
93% |
2397
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1166
20.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2400
41.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2288
39.5 IPS |
