iPhone 11
Geekbench AI Score
1692
Single Precision Score
3082
Half Precision Score
2573
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | nugaetechnicae |
| Upload Date | July 17 2025 03:29 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
801
149.0 IPS |
|
|
Image Classification (HP)
|
100% |
1360
252.9 IPS |
|
|
Image Classification (Q)
|
96% |
976
182.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
784
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1176
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1363
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3676
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
6718
7.84 IPS |
|
|
Pose Estimation (Q)
|
95% |
5973
7.00 IPS |
|
|
Object Detection (SP)
|
100% |
716
56.8 IPS |
|
|
Object Detection (HP)
|
97% |
1579
125.7 IPS |
|
|
Object Detection (Q)
|
94% |
1156
92.1 IPS |
|
|
Face Detection (SP)
|
100% |
1627
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
3167
37.6 IPS |
|
|
Face Detection (Q)
|
100% |
1841
21.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3040
23.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
5494
42.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
4100
32.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7600
9.77 IPS |
|
|
Style Transfer (HP)
|
100% |
14585
18.7 IPS |
|
|
Style Transfer (Q)
|
96% |
12455
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1948
71.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2570
94.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2053
75.8 IPS |
|
|
Text Classification (SP)
|
100% |
1320
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2196
2.93 KIPS |
|
|
Text Classification (Q)
|
93% |
2222
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1207
20.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3192
55.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3237
55.9 IPS |
