iPhone 11 Pro
Geekbench AI Score
1696
Single Precision Score
3109
Half Precision Score
2541
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 09:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
776
144.3 IPS |
|
|
Image Classification (HP)
|
100% |
1379
256.4 IPS |
|
|
Image Classification (Q)
|
96% |
916
171.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
754
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1176
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1308
21.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3429
4.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
6451
7.53 IPS |
|
|
Pose Estimation (Q)
|
95% |
5768
6.76 IPS |
|
|
Object Detection (SP)
|
100% |
721
57.2 IPS |
|
|
Object Detection (HP)
|
97% |
1597
127.1 IPS |
|
|
Object Detection (Q)
|
94% |
1170
93.3 IPS |
|
|
Face Detection (SP)
|
100% |
1592
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
3192
37.9 IPS |
|
|
Face Detection (Q)
|
100% |
1824
21.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3122
24.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
5885
45.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
4216
32.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7665
9.85 IPS |
|
|
Style Transfer (HP)
|
100% |
13387
17.2 IPS |
|
|
Style Transfer (Q)
|
96% |
12266
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2074
76.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2800
103.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2118
78.2 IPS |
|
|
Text Classification (SP)
|
100% |
1367
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
2230
2.98 KIPS |
|
|
Text Classification (Q)
|
93% |
2216
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1264
21.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3225
55.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3138
54.2 IPS |
