iPhone 13
Geekbench AI Score
3324
Single Precision Score
5716
Half Precision Score
4617
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 01:51 AM |
| 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 |
| 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% |
1357
252.4 IPS |
|
|
Image Classification (HP)
|
100% |
2355
437.9 IPS |
|
|
Image Classification (Q)
|
96% |
1629
304.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1339
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2033
33.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2523
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6672
7.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
14382
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12067
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1489
118.1 IPS |
|
|
Object Detection (HP)
|
97% |
2764
220.0 IPS |
|
|
Object Detection (Q)
|
94% |
1941
154.7 IPS |
|
|
Face Detection (SP)
|
100% |
2831
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
5813
69.1 IPS |
|
|
Face Detection (Q)
|
100% |
3262
38.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5473
42.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11227
86.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7722
60.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17768
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26883
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22423
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3888
143.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4750
175.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3468
128.1 IPS |
|
|
Text Classification (SP)
|
100% |
2435
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4138
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4109
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3502
60.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5681
98.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5687
98.3 IPS |
