iPhone 11
Geekbench AI Score
927
Single Precision Score
1118
Half Precision Score
504
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | hrdc0r3 |
| Upload Date | January 09 2025 05:25 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
320
59.5 IPS |
|
|
Image Classification (HP)
|
100% |
370
68.7 IPS |
|
|
Image Classification (Q)
|
97% |
241
45.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
313
5.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
338
5.48 IPS |
|
|
Image Segmentation (Q)
|
99% |
347
5.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
2373
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3122
3.64 IPS |
|
|
Pose Estimation (Q)
|
95% |
1231
1.44 IPS |
|
|
Object Detection (SP)
|
100% |
686
54.4 IPS |
|
|
Object Detection (HP)
|
100% |
663
52.6 IPS |
|
|
Object Detection (Q)
|
94% |
298
23.8 IPS |
|
|
Face Detection (SP)
|
100% |
2535
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
3317
39.4 IPS |
|
|
Face Detection (Q)
|
100% |
390
4.64 IPS |
|
|
Depth Estimation (SP)
|
100% |
2503
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3455
26.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
995
7.76 IPS |
|
|
Style Transfer (SP)
|
100% |
6119
7.87 IPS |
|
|
Style Transfer (HP)
|
100% |
8252
10.6 IPS |
|
|
Style Transfer (Q)
|
96% |
2104
2.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1210
44.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1327
49.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
460
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
234
311.8 IPS |
|
|
Text Classification (HP)
|
100% |
410
546.8 IPS |
|
|
Text Classification (Q)
|
93% |
405
543.2 IPS |
|
|
Machine Translation (SP)
|
100% |
264
4.54 IPS |
|
|
Machine Translation (HP)
|
100% |
230
3.96 IPS |
|
|
Machine Translation (Q)
|
98% |
229
3.96 IPS |
