iPhone 11
Geekbench AI Score
1225
Single Precision Score
3466
Half Precision Score
720
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 02 2025 10:40 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
573
106.6 IPS |
|
|
Image Classification (HP)
|
100% |
2621
487.4 IPS |
|
|
Image Classification (Q)
|
97% |
276
51.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
446
7.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
434
7.04 IPS |
|
|
Image Segmentation (Q)
|
99% |
304
4.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
3382
3.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
29338
34.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
3275
3.84 IPS |
|
|
Object Detection (SP)
|
100% |
610
48.4 IPS |
|
|
Object Detection (HP)
|
100% |
2354
186.7 IPS |
|
|
Object Detection (Q)
|
94% |
277
22.1 IPS |
|
|
Face Detection (SP)
|
100% |
1158
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
7033
83.6 IPS |
|
|
Face Detection (Q)
|
100% |
391
4.64 IPS |
|
|
Depth Estimation (SP)
|
100% |
1980
15.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
23922
184.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
1028
8.03 IPS |
|
|
Style Transfer (SP)
|
100% |
5437
6.99 IPS |
|
|
Style Transfer (HP)
|
100% |
10457
13.4 IPS |
|
|
Style Transfer (Q)
|
96% |
4447
5.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1749
64.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3868
142.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
599
22.1 IPS |
|
|
Text Classification (SP)
|
100% |
758
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
464
619.9 IPS |
|
|
Text Classification (Q)
|
93% |
463
621.6 IPS |
|
|
Machine Translation (SP)
|
100% |
878
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1010
17.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1000
17.3 IPS |
