iPhone 13 Pro
Geekbench AI Score
3272
Single Precision Score
19616
Half Precision Score
21242
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | NycDriipy |
| Upload Date | December 01 2024 01:34 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPhone 13 Pro |
| Model ID | iPhone14,2 |
| Motherboard | D63AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1355
252.0 IPS |
|
|
Image Classification (HP)
|
100% |
9312
1.73 KIPS |
|
|
Image Classification (Q)
|
96% |
8353
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1346
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12577
203.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
13691
221.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6343
7.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
87615
102.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
93502
109.6 IPS |
|
|
Object Detection (SP)
|
100% |
1455
115.4 IPS |
|
|
Object Detection (HP)
|
99% |
10785
857.9 IPS |
|
|
Object Detection (Q)
|
91% |
12140
970.0 IPS |
|
|
Face Detection (SP)
|
100% |
2727
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
27036
321.2 IPS |
|
|
Face Detection (Q)
|
100% |
34995
415.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5438
41.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
55084
424.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
73353
573.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17600
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
157276
202.2 IPS |
|
|
Style Transfer (Q)
|
96% |
155274
200.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3905
144.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29243
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29821
1.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2425
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2413
3.22 KIPS |
|
|
Text Classification (Q)
|
93% |
2366
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3381
58.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4614
79.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5125
88.6 IPS |
