iPhone 11
Geekbench AI Score
896
Single Precision Score
1059
Half Precision Score
477
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 03:20 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
289
53.8 IPS |
|
|
Image Classification (HP)
|
100% |
362
67.3 IPS |
|
|
Image Classification (Q)
|
97% |
233
43.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
322
5.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
341
5.53 IPS |
|
|
Image Segmentation (Q)
|
99% |
334
5.42 IPS |
|
|
Pose Estimation (SP)
|
100% |
2145
2.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2706
3.16 IPS |
|
|
Pose Estimation (Q)
|
95% |
1290
1.51 IPS |
|
|
Object Detection (SP)
|
100% |
645
51.2 IPS |
|
|
Object Detection (HP)
|
100% |
639
50.7 IPS |
|
|
Object Detection (Q)
|
94% |
251
20.1 IPS |
|
|
Face Detection (SP)
|
100% |
2533
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
3338
39.7 IPS |
|
|
Face Detection (Q)
|
100% |
320
3.80 IPS |
|
|
Depth Estimation (SP)
|
100% |
2409
18.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3011
23.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
859
6.71 IPS |
|
|
Style Transfer (SP)
|
100% |
5938
7.63 IPS |
|
|
Style Transfer (HP)
|
100% |
6569
8.45 IPS |
|
|
Style Transfer (Q)
|
96% |
2109
2.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1198
44.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1345
49.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
450
16.6 IPS |
|
|
Text Classification (SP)
|
100% |
233
310.4 IPS |
|
|
Text Classification (HP)
|
100% |
406
542.0 IPS |
|
|
Text Classification (Q)
|
93% |
406
545.5 IPS |
|
|
Machine Translation (SP)
|
100% |
257
4.43 IPS |
|
|
Machine Translation (HP)
|
100% |
232
4.00 IPS |
|
|
Machine Translation (Q)
|
98% |
233
4.03 IPS |
