iPhone 11 Pro
Geekbench AI Score
1574
Single Precision Score
2702
Half Precision Score
2334
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 03:17 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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% |
760
141.3 IPS |
|
|
Image Classification (HP)
|
100% |
1149
213.7 IPS |
|
|
Image Classification (Q)
|
96% |
866
161.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
704
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
776
12.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1084
17.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3643
4.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
6684
7.80 IPS |
|
|
Pose Estimation (Q)
|
95% |
5881
6.89 IPS |
|
|
Object Detection (SP)
|
100% |
689
54.7 IPS |
|
|
Object Detection (HP)
|
97% |
1329
105.8 IPS |
|
|
Object Detection (Q)
|
94% |
1024
81.6 IPS |
|
|
Face Detection (SP)
|
100% |
1397
16.6 IPS |
|
|
Face Detection (HP)
|
100% |
2685
31.9 IPS |
|
|
Face Detection (Q)
|
100% |
1669
19.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2957
22.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
4916
38.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
3775
29.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5073
6.52 IPS |
|
|
Style Transfer (HP)
|
100% |
12959
16.7 IPS |
|
|
Style Transfer (Q)
|
96% |
11083
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2033
75.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2645
97.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2117
78.2 IPS |
|
|
Text Classification (SP)
|
100% |
1419
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
2419
3.23 KIPS |
|
|
Text Classification (Q)
|
93% |
2390
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1153
19.9 IPS |
|
|
Machine Translation (HP)
|
98% |
2399
41.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2406
41.6 IPS |
