iPhone 11 Pro
Geekbench AI Score
1089
Single Precision Score
3253
Half Precision Score
636
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | piotrga |
| Upload Date | September 22 2025 06:22 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
559
103.9 IPS |
|
|
Image Classification (HP)
|
100% |
2720
505.9 IPS |
|
|
Image Classification (Q)
|
97% |
235
43.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
399
6.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
383
6.21 IPS |
|
|
Image Segmentation (Q)
|
99% |
258
4.19 IPS |
|
|
Pose Estimation (SP)
|
100% |
2379
2.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
25488
29.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
2883
3.38 IPS |
|
|
Object Detection (SP)
|
100% |
566
44.9 IPS |
|
|
Object Detection (HP)
|
100% |
2370
188.0 IPS |
|
|
Object Detection (Q)
|
94% |
243
19.4 IPS |
|
|
Face Detection (SP)
|
100% |
1077
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
6607
78.5 IPS |
|
|
Face Detection (Q)
|
100% |
330
3.92 IPS |
|
|
Depth Estimation (SP)
|
100% |
1666
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
21881
168.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
903
7.05 IPS |
|
|
Style Transfer (SP)
|
100% |
4464
5.74 IPS |
|
|
Style Transfer (HP)
|
100% |
9229
11.9 IPS |
|
|
Style Transfer (Q)
|
96% |
3908
5.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1702
62.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3722
137.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
529
19.5 IPS |
|
|
Text Classification (SP)
|
100% |
762
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
456
608.3 IPS |
|
|
Text Classification (Q)
|
93% |
452
606.0 IPS |
|
|
Machine Translation (SP)
|
100% |
755
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
934
16.1 IPS |
|
|
Machine Translation (Q)
|
98% |
921
15.9 IPS |
