iPhone 11 Pro
Geekbench AI Score
918
Single Precision Score
1140
Half Precision Score
521
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 06:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
282
52.5 IPS |
|
|
Image Classification (HP)
|
100% |
365
67.9 IPS |
|
|
Image Classification (Q)
|
97% |
242
45.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
312
5.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
345
5.59 IPS |
|
|
Image Segmentation (Q)
|
99% |
345
5.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
2371
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3204
3.74 IPS |
|
|
Pose Estimation (Q)
|
95% |
1281
1.50 IPS |
|
|
Object Detection (SP)
|
100% |
606
48.0 IPS |
|
|
Object Detection (HP)
|
100% |
613
48.6 IPS |
|
|
Object Detection (Q)
|
94% |
300
23.9 IPS |
|
|
Face Detection (SP)
|
100% |
2623
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
3229
38.4 IPS |
|
|
Face Detection (Q)
|
100% |
398
4.72 IPS |
|
|
Depth Estimation (SP)
|
100% |
2505
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3398
26.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
1049
8.19 IPS |
|
|
Style Transfer (SP)
|
100% |
6168
7.93 IPS |
|
|
Style Transfer (HP)
|
100% |
8619
11.1 IPS |
|
|
Style Transfer (Q)
|
96% |
2139
2.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1160
42.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1302
48.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
462
17.1 IPS |
|
|
Text Classification (SP)
|
100% |
233
310.5 IPS |
|
|
Text Classification (HP)
|
100% |
408
544.3 IPS |
|
|
Text Classification (Q)
|
93% |
408
547.9 IPS |
|
|
Machine Translation (SP)
|
100% |
310
5.34 IPS |
|
|
Machine Translation (HP)
|
100% |
300
5.17 IPS |
|
|
Machine Translation (Q)
|
98% |
274
4.73 IPS |
