iPhone 11
Geekbench AI Score
1689
Single Precision Score
3136
Half Precision Score
2536
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | attibug |
| Upload Date | March 19 2025 02:29 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
746
138.8 IPS |
|
|
Image Classification (HP)
|
100% |
1350
251.1 IPS |
|
|
Image Classification (Q)
|
96% |
969
180.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
784
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1223
19.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1405
22.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3390
3.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
6474
7.55 IPS |
|
|
Pose Estimation (Q)
|
95% |
5174
6.06 IPS |
|
|
Object Detection (SP)
|
100% |
722
57.3 IPS |
|
|
Object Detection (HP)
|
97% |
1541
122.7 IPS |
|
|
Object Detection (Q)
|
94% |
1108
88.3 IPS |
|
|
Face Detection (SP)
|
100% |
1626
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
3268
38.8 IPS |
|
|
Face Detection (Q)
|
100% |
1849
22.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3128
24.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
5913
45.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
4299
33.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7327
9.42 IPS |
|
|
Style Transfer (HP)
|
100% |
14527
18.7 IPS |
|
|
Style Transfer (Q)
|
96% |
12277
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2069
76.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2814
103.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2104
77.7 IPS |
|
|
Text Classification (SP)
|
100% |
1307
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2195
2.93 KIPS |
|
|
Text Classification (Q)
|
93% |
2192
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1310
22.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3222
55.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3142
54.3 IPS |
