iPhone 11
Geekbench AI Score
698
Single Precision Score
2382
Half Precision Score
476
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | gumieAGT |
| Upload Date | May 03 2025 05:52 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
305
56.7 IPS |
|
|
Image Classification (HP)
|
100% |
1847
343.5 IPS |
|
|
Image Classification (Q)
|
97% |
165
30.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
256
4.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
316
5.12 IPS |
|
|
Image Segmentation (Q)
|
99% |
195
3.16 IPS |
|
|
Pose Estimation (SP)
|
100% |
1749
2.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
18636
21.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
2335
2.74 IPS |
|
|
Object Detection (SP)
|
100% |
327
25.9 IPS |
|
|
Object Detection (HP)
|
100% |
1678
133.1 IPS |
|
|
Object Detection (Q)
|
94% |
188
15.0 IPS |
|
|
Face Detection (SP)
|
100% |
700
8.31 IPS |
|
|
Face Detection (HP)
|
100% |
4880
58.0 IPS |
|
|
Face Detection (Q)
|
100% |
259
3.08 IPS |
|
|
Depth Estimation (SP)
|
100% |
1174
9.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
18813
144.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
686
5.36 IPS |
|
|
Style Transfer (SP)
|
100% |
3133
4.03 IPS |
|
|
Style Transfer (HP)
|
100% |
6762
8.69 IPS |
|
|
Style Transfer (Q)
|
96% |
3017
3.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
986
36.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2753
101.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
422
15.6 IPS |
|
|
Text Classification (SP)
|
100% |
499
666.6 IPS |
|
|
Text Classification (HP)
|
100% |
275
366.4 IPS |
|
|
Text Classification (Q)
|
93% |
279
374.7 IPS |
|
|
Machine Translation (SP)
|
100% |
492
8.47 IPS |
|
|
Machine Translation (HP)
|
100% |
687
11.8 IPS |
|
|
Machine Translation (Q)
|
98% |
679
11.7 IPS |
