iPhone 13
Geekbench AI Score
3272
Single Precision Score
5646
Half Precision Score
4568
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | March 12 2025 01:28 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| Model | iPhone 13 |
| Model ID | iPhone14,5 |
| Motherboard | D17AP |
| 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 | 3.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1353
251.6 IPS |
|
|
Image Classification (HP)
|
100% |
2351
437.3 IPS |
|
|
Image Classification (Q)
|
96% |
1632
304.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1327
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2008
32.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2499
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6313
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
13746
16.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11723
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1442
114.3 IPS |
|
|
Object Detection (HP)
|
97% |
2721
216.7 IPS |
|
|
Object Detection (Q)
|
94% |
1925
153.4 IPS |
|
|
Face Detection (SP)
|
100% |
2745
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
5682
67.5 IPS |
|
|
Face Detection (Q)
|
100% |
3187
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5362
41.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11118
85.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7516
58.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17512
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26897
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22197
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3965
146.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4638
171.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3477
128.4 IPS |
|
|
Text Classification (SP)
|
100% |
2417
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4162
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4115
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3484
60.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5684
98.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5656
97.7 IPS |
