iPhone 11
Geekbench AI Score
1608
Single Precision Score
2709
Half Precision Score
2244
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | anbG34 |
| Upload Date | August 18 2024 07:26 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
746
138.7 IPS |
|
|
Image Classification (HP)
|
100% |
1151
214.1 IPS |
|
|
Image Classification (Q)
|
99% |
1137
212.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
703
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
771
12.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
774
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3447
4.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
6449
7.52 IPS |
|
|
Pose Estimation (Q)
|
96% |
5614
6.58 IPS |
|
|
Object Detection (SP)
|
100% |
685
54.3 IPS |
|
|
Object Detection (HP)
|
97% |
1315
104.7 IPS |
|
|
Object Detection (Q)
|
94% |
997
79.5 IPS |
|
|
Face Detection (SP)
|
100% |
1372
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
2650
31.5 IPS |
|
|
Face Detection (Q)
|
100% |
1639
19.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2928
22.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4854
37.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
2469
19.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7381
9.49 IPS |
|
|
Style Transfer (HP)
|
100% |
13570
17.4 IPS |
|
|
Style Transfer (Q)
|
100% |
13492
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1958
72.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2772
102.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2118
78.5 IPS |
|
|
Text Classification (SP)
|
100% |
1423
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
2412
3.22 KIPS |
|
|
Text Classification (Q)
|
93% |
2350
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1135
19.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2427
41.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2421
41.8 IPS |
