iPhone 11
Geekbench AI Score
1621
Single Precision Score
3076
Half Precision Score
2560
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 28 2025 12:09 AM |
| Views | 3 |
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% |
747
138.9 IPS |
|
|
Image Classification (HP)
|
100% |
1318
245.1 IPS |
|
|
Image Classification (Q)
|
96% |
953
178.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
770
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1167
18.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1304
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2879
3.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
5836
6.81 IPS |
|
|
Pose Estimation (Q)
|
95% |
5141
6.03 IPS |
|
|
Object Detection (SP)
|
100% |
774
61.4 IPS |
|
|
Object Detection (HP)
|
97% |
1545
123.0 IPS |
|
|
Object Detection (Q)
|
94% |
1152
91.8 IPS |
|
|
Face Detection (SP)
|
100% |
1597
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
3108
36.9 IPS |
|
|
Face Detection (Q)
|
100% |
1693
20.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2637
20.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
5416
41.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
4245
33.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6464
8.31 IPS |
|
|
Style Transfer (HP)
|
100% |
14402
18.5 IPS |
|
|
Style Transfer (Q)
|
96% |
12242
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1988
73.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2730
100.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2163
79.9 IPS |
|
|
Text Classification (SP)
|
100% |
1412
1.88 KIPS |
|
|
Text Classification (HP)
|
99% |
2642
3.53 KIPS |
|
|
Text Classification (Q)
|
93% |
2738
3.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1286
22.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3136
54.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3157
54.6 IPS |
