iPhone 11 Pro
Geekbench AI Score
1077
Single Precision Score
3393
Half Precision Score
647
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 06:37 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPhone 11 Pro |
| Model ID | iPhone12,3 |
| Motherboard | D421AP |
| 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 | 3.68 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
549
102.0 IPS |
|
|
Image Classification (HP)
|
100% |
2860
531.8 IPS |
|
|
Image Classification (Q)
|
97% |
276
51.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
432
7.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
492
7.97 IPS |
|
|
Image Segmentation (Q)
|
99% |
313
5.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
3213
3.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
26139
30.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
2979
3.49 IPS |
|
|
Object Detection (SP)
|
100% |
538
42.7 IPS |
|
|
Object Detection (HP)
|
100% |
2519
199.8 IPS |
|
|
Object Detection (Q)
|
94% |
249
19.8 IPS |
|
|
Face Detection (SP)
|
100% |
848
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
5364
63.7 IPS |
|
|
Face Detection (Q)
|
100% |
311
3.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
1659
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
21777
167.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
850
6.64 IPS |
|
|
Style Transfer (SP)
|
100% |
4096
5.26 IPS |
|
|
Style Transfer (HP)
|
100% |
8881
11.4 IPS |
|
|
Style Transfer (Q)
|
96% |
3454
4.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1639
60.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4370
161.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
483
17.8 IPS |
|
|
Text Classification (SP)
|
100% |
774
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
463
618.6 IPS |
|
|
Text Classification (Q)
|
93% |
455
611.1 IPS |
|
|
Machine Translation (SP)
|
100% |
707
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1041
17.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1004
17.3 IPS |
