iPhone 11 Pro
Geekbench AI Score
1661
Single Precision Score
3070
Half Precision Score
2563
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 20 2025 12:31 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
810
150.7 IPS |
|
|
Image Classification (HP)
|
100% |
1364
253.7 IPS |
|
|
Image Classification (Q)
|
96% |
974
181.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
786
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1174
19.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1368
22.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3569
4.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
6518
7.61 IPS |
|
|
Pose Estimation (Q)
|
95% |
5817
6.82 IPS |
|
|
Object Detection (SP)
|
100% |
717
56.9 IPS |
|
|
Object Detection (HP)
|
97% |
1593
126.8 IPS |
|
|
Object Detection (Q)
|
94% |
1160
92.5 IPS |
|
|
Face Detection (SP)
|
100% |
1609
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
3128
37.2 IPS |
|
|
Face Detection (Q)
|
100% |
1808
21.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2953
22.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
5508
42.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
4113
32.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7323
9.41 IPS |
|
|
Style Transfer (HP)
|
100% |
14322
18.4 IPS |
|
|
Style Transfer (Q)
|
96% |
12340
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1814
67.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2542
93.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2065
76.3 IPS |
|
|
Text Classification (SP)
|
100% |
1293
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2185
2.92 KIPS |
|
|
Text Classification (Q)
|
93% |
2174
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1205
20.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3265
56.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3304
57.1 IPS |
