iPhone 11
Geekbench AI Score
1743
Single Precision Score
3169
Half Precision Score
2627
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 04 2026 12:52 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
801
148.9 IPS |
|
|
Image Classification (HP)
|
100% |
1351
251.3 IPS |
|
|
Image Classification (Q)
|
96% |
978
182.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
852
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1252
20.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1465
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3684
4.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
6731
7.85 IPS |
|
|
Pose Estimation (Q)
|
95% |
5978
7.01 IPS |
|
|
Object Detection (SP)
|
100% |
764
60.6 IPS |
|
|
Object Detection (HP)
|
97% |
1590
126.6 IPS |
|
|
Object Detection (Q)
|
94% |
1171
93.4 IPS |
|
|
Face Detection (SP)
|
100% |
1681
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
3227
38.3 IPS |
|
|
Face Detection (Q)
|
100% |
1875
22.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3171
24.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
5924
45.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4368
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7860
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14513
18.7 IPS |
|
|
Style Transfer (Q)
|
96% |
12334
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2070
76.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2768
102.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2181
80.5 IPS |
|
|
Text Classification (SP)
|
100% |
1459
1.95 KIPS |
|
|
Text Classification (HP)
|
99% |
2264
3.02 KIPS |
|
|
Text Classification (Q)
|
93% |
2250
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1065
18.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3251
56.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3151
54.5 IPS |
