iPhone 11 Pro
Geekbench AI Score
1731
Single Precision Score
3139
Half Precision Score
2609
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 10:18 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
785
146.1 IPS |
|
|
Image Classification (HP)
|
100% |
1390
258.5 IPS |
|
|
Image Classification (Q)
|
96% |
989
184.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
829
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1305
21.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1472
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3642
4.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
6597
7.70 IPS |
|
|
Pose Estimation (Q)
|
95% |
5879
6.89 IPS |
|
|
Object Detection (SP)
|
100% |
734
58.2 IPS |
|
|
Object Detection (HP)
|
97% |
1620
128.9 IPS |
|
|
Object Detection (Q)
|
94% |
1173
93.5 IPS |
|
|
Face Detection (SP)
|
100% |
1657
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
3253
38.7 IPS |
|
|
Face Detection (Q)
|
100% |
1860
22.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3167
24.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
5963
46.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
4388
34.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7722
9.93 IPS |
|
|
Style Transfer (HP)
|
100% |
14217
18.3 IPS |
|
|
Style Transfer (Q)
|
96% |
12237
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2008
74.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2700
99.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2107
77.8 IPS |
|
|
Text Classification (SP)
|
100% |
1315
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2166
2.89 KIPS |
|
|
Text Classification (Q)
|
93% |
2160
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1301
22.4 IPS |
|
|
Machine Translation (HP)
|
98% |
2979
51.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3204
55.4 IPS |
