iPhone 11
Geekbench AI Score
1625
Single Precision Score
3050
Half Precision Score
2525
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 07 2025 05:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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% |
797
148.2 IPS |
|
|
Image Classification (HP)
|
100% |
1377
256.1 IPS |
|
|
Image Classification (Q)
|
96% |
990
184.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
789
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1179
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1356
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3478
4.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
6338
7.40 IPS |
|
|
Pose Estimation (Q)
|
95% |
5387
6.31 IPS |
|
|
Object Detection (SP)
|
100% |
698
55.3 IPS |
|
|
Object Detection (HP)
|
97% |
1567
124.7 IPS |
|
|
Object Detection (Q)
|
94% |
1149
91.6 IPS |
|
|
Face Detection (SP)
|
100% |
1587
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
3090
36.7 IPS |
|
|
Face Detection (Q)
|
100% |
1780
21.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2814
21.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
5457
42.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
4091
31.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6954
8.94 IPS |
|
|
Style Transfer (HP)
|
100% |
13878
17.8 IPS |
|
|
Style Transfer (Q)
|
96% |
12050
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1748
64.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2606
96.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2057
75.9 IPS |
|
|
Text Classification (SP)
|
100% |
1301
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2196
2.93 KIPS |
|
|
Text Classification (Q)
|
93% |
2188
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1196
20.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3229
55.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3211
55.5 IPS |
