iPhone 11
Geekbench AI Score
1181
Single Precision Score
3614
Half Precision Score
736
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | matogeek |
| Upload Date | July 27 2025 04:41 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
544
101.1 IPS |
|
|
Image Classification (HP)
|
100% |
2762
513.7 IPS |
|
|
Image Classification (Q)
|
97% |
278
51.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
439
7.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
491
7.96 IPS |
|
|
Image Segmentation (Q)
|
99% |
314
5.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
3277
3.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
28946
33.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
3535
4.14 IPS |
|
|
Object Detection (SP)
|
100% |
569
45.2 IPS |
|
|
Object Detection (HP)
|
100% |
2506
198.7 IPS |
|
|
Object Detection (Q)
|
94% |
293
23.4 IPS |
|
|
Face Detection (SP)
|
100% |
1138
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
7150
85.0 IPS |
|
|
Face Detection (Q)
|
100% |
352
4.19 IPS |
|
|
Depth Estimation (SP)
|
100% |
1840
14.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
23766
183.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
1062
8.29 IPS |
|
|
Style Transfer (SP)
|
100% |
5292
6.80 IPS |
|
|
Style Transfer (HP)
|
100% |
10829
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
4597
5.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1665
61.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4356
160.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
628
23.2 IPS |
|
|
Text Classification (SP)
|
100% |
766
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
461
615.2 IPS |
|
|
Text Classification (Q)
|
93% |
461
618.8 IPS |
|
|
Machine Translation (SP)
|
100% |
845
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1048
18.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1051
18.2 IPS |
