iPhone 11 Pro
Geekbench AI Score
1716
Single Precision Score
3129
Half Precision Score
2602
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 08 2026 12:34 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
783
145.6 IPS |
|
|
Image Classification (HP)
|
100% |
1337
248.6 IPS |
|
|
Image Classification (Q)
|
96% |
983
183.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
850
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1236
20.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1423
23.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3407
3.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
6474
7.55 IPS |
|
|
Pose Estimation (Q)
|
95% |
5562
6.52 IPS |
|
|
Object Detection (SP)
|
100% |
779
61.8 IPS |
|
|
Object Detection (HP)
|
97% |
1563
124.5 IPS |
|
|
Object Detection (Q)
|
94% |
1155
92.0 IPS |
|
|
Face Detection (SP)
|
100% |
1654
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
3182
37.8 IPS |
|
|
Face Detection (Q)
|
100% |
1816
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3041
23.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
5859
45.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
4323
33.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7369
9.47 IPS |
|
|
Style Transfer (HP)
|
100% |
14156
18.2 IPS |
|
|
Style Transfer (Q)
|
96% |
12266
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1927
71.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2790
103.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2164
79.9 IPS |
|
|
Text Classification (SP)
|
100% |
1377
1.84 KIPS |
|
|
Text Classification (HP)
|
99% |
2300
3.07 KIPS |
|
|
Text Classification (Q)
|
93% |
2399
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1280
22.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3183
55.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3169
54.8 IPS |
