iPhone 11 Pro
Geekbench AI Score
1637
Single Precision Score
2725
Half Precision Score
2231
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | saiht |
| Upload Date | August 15 2024 09:14 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
759
141.2 IPS |
|
|
Image Classification (HP)
|
100% |
1142
212.3 IPS |
|
|
Image Classification (Q)
|
99% |
1140
212.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
705
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
776
12.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
774
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3676
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
6732
7.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
5895
6.91 IPS |
|
|
Object Detection (SP)
|
100% |
688
54.6 IPS |
|
|
Object Detection (HP)
|
97% |
1328
105.7 IPS |
|
|
Object Detection (Q)
|
94% |
1018
81.1 IPS |
|
|
Face Detection (SP)
|
100% |
1396
16.6 IPS |
|
|
Face Detection (HP)
|
100% |
2691
32.0 IPS |
|
|
Face Detection (Q)
|
100% |
1663
19.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3002
23.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4911
37.9 IPS |
|
|
Depth Estimation (Q)
|
96% |
2540
19.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7550
9.71 IPS |
|
|
Style Transfer (HP)
|
100% |
13659
17.6 IPS |
|
|
Style Transfer (Q)
|
100% |
13644
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2041
75.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2692
99.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2102
77.9 IPS |
|
|
Text Classification (SP)
|
100% |
1421
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
2418
3.23 KIPS |
|
|
Text Classification (Q)
|
93% |
1971
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1115
19.2 IPS |
|
|
Machine Translation (HP)
|
98% |
2426
41.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2419
41.8 IPS |
