iPhone 13 Pro
Geekbench AI Score
3292
Single Precision Score
5691
Half Precision Score
4613
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 21 2024 04:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1350
251.0 IPS |
|
|
Image Classification (HP)
|
100% |
2355
437.9 IPS |
|
|
Image Classification (Q)
|
96% |
1623
303.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1312
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2035
33.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2483
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6654
7.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
14316
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12167
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1475
117.0 IPS |
|
|
Object Detection (HP)
|
97% |
2745
218.6 IPS |
|
|
Object Detection (Q)
|
94% |
1945
155.0 IPS |
|
|
Face Detection (SP)
|
100% |
2697
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
5791
68.8 IPS |
|
|
Face Detection (Q)
|
100% |
3267
38.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5525
42.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11155
86.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7634
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17792
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27076
34.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22461
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3972
146.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4648
171.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3502
129.3 IPS |
|
|
Text Classification (SP)
|
100% |
2416
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4104
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4095
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3386
58.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5680
98.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5696
98.4 IPS |
