iPhone 11
Geekbench AI Score
1556
Single Precision Score
3004
Half Precision Score
2496
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | nugaetechnicae |
| Upload Date | July 15 2025 02:56 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
760
141.3 IPS |
|
|
Image Classification (HP)
|
100% |
1355
251.9 IPS |
|
|
Image Classification (Q)
|
96% |
977
182.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
775
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1163
18.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1346
21.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3145
3.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
6139
7.16 IPS |
|
|
Pose Estimation (Q)
|
95% |
5345
6.27 IPS |
|
|
Object Detection (SP)
|
100% |
694
55.0 IPS |
|
|
Object Detection (HP)
|
97% |
1546
123.1 IPS |
|
|
Object Detection (Q)
|
94% |
1146
91.3 IPS |
|
|
Face Detection (SP)
|
100% |
1525
18.1 IPS |
|
|
Face Detection (HP)
|
100% |
3057
36.3 IPS |
|
|
Face Detection (Q)
|
100% |
1781
21.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2821
21.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
5428
42.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
3980
31.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6377
8.20 IPS |
|
|
Style Transfer (HP)
|
100% |
14007
18.0 IPS |
|
|
Style Transfer (Q)
|
96% |
11671
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1853
68.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2514
92.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2045
75.5 IPS |
|
|
Text Classification (SP)
|
100% |
1360
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
2186
2.92 KIPS |
|
|
Text Classification (Q)
|
93% |
2196
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
941
16.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3133
54.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3139
54.2 IPS |
