iPhone 11 Pro
Geekbench AI Score
839
Single Precision Score
1066
Half Precision Score
406
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 24 2025 12:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
302
56.2 IPS |
|
|
Image Classification (HP)
|
100% |
370
68.8 IPS |
|
|
Image Classification (Q)
|
97% |
211
39.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
321
5.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
341
5.53 IPS |
|
|
Image Segmentation (Q)
|
99% |
293
4.74 IPS |
|
|
Pose Estimation (SP)
|
100% |
1911
2.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
2645
3.09 IPS |
|
|
Pose Estimation (Q)
|
95% |
1270
1.49 IPS |
|
|
Object Detection (SP)
|
100% |
658
52.2 IPS |
|
|
Object Detection (HP)
|
100% |
648
51.4 IPS |
|
|
Object Detection (Q)
|
94% |
158
12.6 IPS |
|
|
Face Detection (SP)
|
100% |
2584
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
3424
40.7 IPS |
|
|
Face Detection (Q)
|
100% |
182
2.16 IPS |
|
|
Depth Estimation (SP)
|
100% |
2417
18.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3259
25.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
723
5.64 IPS |
|
|
Style Transfer (SP)
|
100% |
5790
7.44 IPS |
|
|
Style Transfer (HP)
|
100% |
6220
8.00 IPS |
|
|
Style Transfer (Q)
|
96% |
2006
2.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1164
43.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1155
42.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
402
14.9 IPS |
|
|
Text Classification (SP)
|
100% |
97
129.2 IPS |
|
|
Text Classification (HP)
|
100% |
389
518.8 IPS |
|
|
Text Classification (Q)
|
93% |
349
468.6 IPS |
|
|
Machine Translation (SP)
|
100% |
348
6.00 IPS |
|
|
Machine Translation (HP)
|
100% |
283
4.87 IPS |
|
|
Machine Translation (Q)
|
98% |
266
4.60 IPS |
