iPhone 11 Pro
Geekbench AI Score
1737
Single Precision Score
3157
Half Precision Score
2615
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 02:55 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
793
147.5 IPS |
|
|
Image Classification (HP)
|
100% |
1387
257.9 IPS |
|
|
Image Classification (Q)
|
96% |
987
184.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
813
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1278
20.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1477
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3680
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
6661
7.77 IPS |
|
|
Pose Estimation (Q)
|
95% |
5901
6.92 IPS |
|
|
Object Detection (SP)
|
100% |
741
58.8 IPS |
|
|
Object Detection (HP)
|
97% |
1621
129.0 IPS |
|
|
Object Detection (Q)
|
94% |
1171
93.3 IPS |
|
|
Face Detection (SP)
|
100% |
1653
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
3254
38.7 IPS |
|
|
Face Detection (Q)
|
100% |
1876
22.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3180
24.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
5994
46.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
4376
34.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7822
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14045
18.1 IPS |
|
|
Style Transfer (Q)
|
96% |
12211
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2052
75.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2692
99.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2103
77.7 IPS |
|
|
Text Classification (SP)
|
100% |
1294
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2164
2.89 KIPS |
|
|
Text Classification (Q)
|
93% |
2208
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1309
22.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3228
55.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3193
55.2 IPS |
