iPhone 13 Pro
Geekbench AI Score
3268
Single Precision Score
5655
Half Precision Score
4915
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | pauljaruta |
| Upload Date | September 02 2024 06:14 PM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1360
252.9 IPS |
|
|
Image Classification (HP)
|
100% |
2359
438.7 IPS |
|
|
Image Classification (Q)
|
99% |
2353
438.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1310
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1997
32.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
2005
32.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6348
7.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
13980
16.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
11673
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1441
114.3 IPS |
|
|
Object Detection (HP)
|
97% |
2748
218.8 IPS |
|
|
Object Detection (Q)
|
94% |
1936
154.3 IPS |
|
|
Face Detection (SP)
|
100% |
2718
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
5725
68.0 IPS |
|
|
Face Detection (Q)
|
100% |
3178
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5489
42.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11139
86.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
11169
86.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17640
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26935
34.6 IPS |
|
|
Style Transfer (Q)
|
100% |
26996
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3930
145.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4640
171.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3460
128.2 IPS |
|
|
Text Classification (SP)
|
100% |
2418
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4070
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4050
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3411
58.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5705
98.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5748
99.3 IPS |
