iPhone 11
Geekbench AI Score
902
Single Precision Score
1045
Half Precision Score
460
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 12:37 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
290
54.0 IPS |
|
|
Image Classification (HP)
|
100% |
360
67.0 IPS |
|
|
Image Classification (Q)
|
97% |
240
44.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
311
5.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
352
5.71 IPS |
|
|
Image Segmentation (Q)
|
99% |
338
5.48 IPS |
|
|
Pose Estimation (SP)
|
100% |
2267
2.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
2886
3.37 IPS |
|
|
Pose Estimation (Q)
|
95% |
1221
1.43 IPS |
|
|
Object Detection (SP)
|
100% |
632
50.2 IPS |
|
|
Object Detection (HP)
|
100% |
651
51.6 IPS |
|
|
Object Detection (Q)
|
94% |
224
17.9 IPS |
|
|
Face Detection (SP)
|
100% |
2500
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
3356
39.9 IPS |
|
|
Face Detection (Q)
|
100% |
306
3.64 IPS |
|
|
Depth Estimation (SP)
|
100% |
2391
18.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2802
21.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
780
6.09 IPS |
|
|
Style Transfer (SP)
|
100% |
5843
7.51 IPS |
|
|
Style Transfer (HP)
|
100% |
5850
7.52 IPS |
|
|
Style Transfer (Q)
|
96% |
2091
2.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1173
43.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1296
47.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
439
16.2 IPS |
|
|
Text Classification (SP)
|
100% |
234
312.5 IPS |
|
|
Text Classification (HP)
|
100% |
374
499.3 IPS |
|
|
Text Classification (Q)
|
93% |
371
497.7 IPS |
|
|
Machine Translation (SP)
|
100% |
288
4.96 IPS |
|
|
Machine Translation (HP)
|
100% |
245
4.23 IPS |
|
|
Machine Translation (Q)
|
98% |
240
4.15 IPS |
