iPhone 11 Pro
Geekbench AI Score
1608
Single Precision Score
3014
Half Precision Score
2403
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 11:52 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
773
143.8 IPS |
|
|
Image Classification (HP)
|
100% |
1330
247.3 IPS |
|
|
Image Classification (Q)
|
96% |
952
177.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
801
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1206
19.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1387
22.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2501
2.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
5336
6.23 IPS |
|
|
Pose Estimation (Q)
|
95% |
4666
5.47 IPS |
|
|
Object Detection (SP)
|
100% |
738
58.5 IPS |
|
|
Object Detection (HP)
|
97% |
1526
121.5 IPS |
|
|
Object Detection (Q)
|
94% |
886
70.6 IPS |
|
|
Face Detection (SP)
|
100% |
1379
16.4 IPS |
|
|
Face Detection (HP)
|
100% |
2988
35.5 IPS |
|
|
Face Detection (Q)
|
100% |
1581
18.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2977
22.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
5779
44.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
4289
33.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7486
9.62 IPS |
|
|
Style Transfer (HP)
|
100% |
14291
18.4 IPS |
|
|
Style Transfer (Q)
|
96% |
12193
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1908
70.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2794
103.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2127
78.6 IPS |
|
|
Text Classification (SP)
|
100% |
1360
1.82 KIPS |
|
|
Text Classification (HP)
|
99% |
2232
2.98 KIPS |
|
|
Text Classification (Q)
|
93% |
2221
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1275
22.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3088
53.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3023
52.2 IPS |
