iPhone 11 - Business Phone iPhone 11
Geekbench AI Score
1212
Single Precision Score
3462
Half Precision Score
715
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | jordatech |
| Upload Date | April 15 2026 11:18 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
578
107.6 IPS |
|
|
Image Classification (HP)
|
100% |
2616
486.5 IPS |
|
|
Image Classification (Q)
|
97% |
278
51.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
450
7.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
439
7.12 IPS |
|
|
Image Segmentation (Q)
|
99% |
303
4.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
3320
3.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
29386
34.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
3233
3.79 IPS |
|
|
Object Detection (SP)
|
100% |
599
47.5 IPS |
|
|
Object Detection (HP)
|
100% |
2373
188.2 IPS |
|
|
Object Detection (Q)
|
94% |
276
22.0 IPS |
|
|
Face Detection (SP)
|
100% |
1137
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
7209
85.7 IPS |
|
|
Face Detection (Q)
|
100% |
393
4.67 IPS |
|
|
Depth Estimation (SP)
|
100% |
1980
15.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
24119
185.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
1026
8.02 IPS |
|
|
Style Transfer (SP)
|
100% |
5358
6.89 IPS |
|
|
Style Transfer (HP)
|
100% |
10479
13.5 IPS |
|
|
Style Transfer (Q)
|
96% |
4499
5.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1662
61.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3739
138.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
589
21.7 IPS |
|
|
Text Classification (SP)
|
100% |
770
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
461
615.8 IPS |
|
|
Text Classification (Q)
|
93% |
448
601.9 IPS |
|
|
Machine Translation (SP)
|
100% |
860
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
984
16.9 IPS |
|
|
Machine Translation (Q)
|
98% |
982
17.0 IPS |
