iPhone 11
Geekbench AI Score
892
Single Precision Score
1052
Half Precision Score
447
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | hello-world |
| Upload Date | April 19 2025 04:47 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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
59.6 IPS |
|
|
Image Classification (HP)
|
100% |
352
65.4 IPS |
|
|
Image Classification (Q)
|
97% |
219
40.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
303
4.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
343
5.56 IPS |
|
|
Image Segmentation (Q)
|
99% |
292
4.73 IPS |
|
|
Pose Estimation (SP)
|
100% |
1883
2.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
2546
2.97 IPS |
|
|
Pose Estimation (Q)
|
95% |
1172
1.37 IPS |
|
|
Object Detection (SP)
|
100% |
634
50.3 IPS |
|
|
Object Detection (HP)
|
100% |
634
50.3 IPS |
|
|
Object Detection (Q)
|
94% |
259
20.6 IPS |
|
|
Face Detection (SP)
|
100% |
2518
29.9 IPS |
|
|
Face Detection (HP)
|
100% |
3215
38.2 IPS |
|
|
Face Detection (Q)
|
100% |
317
3.76 IPS |
|
|
Depth Estimation (SP)
|
100% |
2378
18.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3291
25.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
720
5.62 IPS |
|
|
Style Transfer (SP)
|
100% |
5739
7.38 IPS |
|
|
Style Transfer (HP)
|
100% |
5700
7.33 IPS |
|
|
Style Transfer (Q)
|
96% |
1890
2.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1146
42.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1196
44.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
392
14.5 IPS |
|
|
Text Classification (SP)
|
100% |
229
305.5 IPS |
|
|
Text Classification (HP)
|
100% |
398
531.6 IPS |
|
|
Text Classification (Q)
|
93% |
362
485.9 IPS |
|
|
Machine Translation (SP)
|
100% |
306
5.26 IPS |
|
|
Machine Translation (HP)
|
100% |
298
5.14 IPS |
|
|
Machine Translation (Q)
|
98% |
272
4.70 IPS |
