iPhone 11
Geekbench AI Score
1172
Single Precision Score
3390
Half Precision Score
696
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | NycDriipy |
| Upload Date | November 19 2025 09:08 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
578
107.4 IPS |
|
|
Image Classification (HP)
|
100% |
2628
488.7 IPS |
|
|
Image Classification (Q)
|
97% |
277
51.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
445
7.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
435
7.05 IPS |
|
|
Image Segmentation (Q)
|
99% |
303
4.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
3157
3.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
28696
33.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
3285
3.85 IPS |
|
|
Object Detection (SP)
|
100% |
605
48.0 IPS |
|
|
Object Detection (HP)
|
100% |
2338
185.5 IPS |
|
|
Object Detection (Q)
|
94% |
272
21.7 IPS |
|
|
Face Detection (SP)
|
100% |
1138
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
7061
83.9 IPS |
|
|
Face Detection (Q)
|
100% |
372
4.42 IPS |
|
|
Depth Estimation (SP)
|
100% |
1862
14.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
23363
180.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
916
7.15 IPS |
|
|
Style Transfer (SP)
|
100% |
4367
5.61 IPS |
|
|
Style Transfer (HP)
|
100% |
9159
11.8 IPS |
|
|
Style Transfer (Q)
|
96% |
3979
5.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1649
60.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3816
140.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
579
21.4 IPS |
|
|
Text Classification (SP)
|
100% |
770
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
462
616.2 IPS |
|
|
Text Classification (Q)
|
93% |
465
624.5 IPS |
|
|
Machine Translation (SP)
|
100% |
849
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
984
17.0 IPS |
|
|
Machine Translation (Q)
|
98% |
976
16.9 IPS |
