iPhone 11
Geekbench AI Score
680
Single Precision Score
267
Half Precision Score
152
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | andreyshunt |
| Upload Date | May 08 2025 06:41 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.2.1 |
| 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% |
290
53.9 IPS |
|
|
Image Classification (HP)
|
100% |
355
66.1 IPS |
|
|
Image Classification (Q)
|
97% |
240
44.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
313
5.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
341
5.52 IPS |
|
|
Image Segmentation (Q)
|
99% |
339
5.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
2340
2.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
3113
3.63 IPS |
|
|
Pose Estimation (Q)
|
95% |
1200
1.41 IPS |
|
|
Object Detection (SP)
|
100% |
627
49.7 IPS |
|
|
Object Detection (HP)
|
100% |
675
53.5 IPS |
|
|
Object Detection (Q)
|
94% |
255
20.3 IPS |
|
|
Face Detection (SP)
|
100% |
2504
29.8 IPS |
|
|
Face Detection (HP)
|
100% |
3338
39.7 IPS |
|
|
Face Detection (Q)
|
100% |
326
3.87 IPS |
|
|
Depth Estimation (SP)
|
100% |
2369
18.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2948
22.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
878
6.86 IPS |
|
|
Style Transfer (SP)
|
26% |
320
7.60 IPS |
|
|
Style Transfer (HP)
|
30% |
584
8.78 IPS |
|
|
Style Transfer (Q)
|
96% |
2095
2.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1146
42.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1286
47.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
446
16.5 IPS |
|
|
Text Classification (SP)
|
100% |
250
333.3 IPS |
|
|
Text Classification (HP)
|
0
|
||
|
Text Classification (Q)
|
0
|
||
|
Machine Translation (SP)
|
100% |
294
5.06 IPS |
|
|
Machine Translation (HP)
|
0
|
||
|
Machine Translation (Q)
|
0
|
