iPhone 11
Geekbench AI Score
1703
Single Precision Score
3155
Half Precision Score
2590
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | January 14 2025 08:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| Model | iPhone 11 |
| Model ID | iPhone12,1 |
| Motherboard | N104AP |
| 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 | 3.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
792
147.2 IPS |
|
|
Image Classification (HP)
|
100% |
1392
258.8 IPS |
|
|
Image Classification (Q)
|
96% |
986
184.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
815
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1282
20.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1478
24.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3666
4.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
6577
7.67 IPS |
|
|
Pose Estimation (Q)
|
95% |
5834
6.84 IPS |
|
|
Object Detection (SP)
|
100% |
755
59.9 IPS |
|
|
Object Detection (HP)
|
97% |
1626
129.4 IPS |
|
|
Object Detection (Q)
|
94% |
1171
93.3 IPS |
|
|
Face Detection (SP)
|
100% |
1656
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
3256
38.7 IPS |
|
|
Face Detection (Q)
|
100% |
1858
22.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3107
23.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
5965
46.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
4356
34.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6674
8.58 IPS |
|
|
Style Transfer (HP)
|
100% |
13506
17.4 IPS |
|
|
Style Transfer (Q)
|
96% |
11606
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2041
75.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2705
99.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2096
77.4 IPS |
|
|
Text Classification (SP)
|
100% |
1301
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2159
2.88 KIPS |
|
|
Text Classification (Q)
|
93% |
2155
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1262
21.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3349
57.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3218
55.6 IPS |
