iPhone 13 Pro
Geekbench AI Score
3790
Single Precision Score
4235
Half Precision Score
3767
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 21 2024 04:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1624
302.1 IPS |
|
|
Image Classification (HP)
|
100% |
1461
271.8 IPS |
|
|
Image Classification (Q)
|
97% |
1465
273.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2290
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2482
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2449
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11295
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12241
14.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11418
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1981
157.2 IPS |
|
|
Object Detection (HP)
|
100% |
2015
159.9 IPS |
|
|
Object Detection (Q)
|
91% |
1629
130.2 IPS |
|
|
Face Detection (SP)
|
100% |
4735
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
6047
71.9 IPS |
|
|
Face Detection (Q)
|
100% |
4126
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8537
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8989
69.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7536
58.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18831
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23326
30.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21746
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4982
184.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4948
182.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3975
146.8 IPS |
|
|
Text Classification (SP)
|
100% |
2418
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4108
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4089
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
802
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
806
13.9 IPS |
|
|
Machine Translation (Q)
|
98% |
786
13.6 IPS |
