iPhone 13
Geekbench AI Score
2935
Single Precision Score
4423
Half Precision Score
3788
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | vandross66 |
| Upload Date | January 08 2025 02:41 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7.2 |
| 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 | 3.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1418
263.6 IPS |
|
|
Image Classification (HP)
|
100% |
1761
327.6 IPS |
|
|
Image Classification (Q)
|
96% |
1349
252.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1158
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1117
18.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1664
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5688
6.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
13034
15.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11132
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1400
111.1 IPS |
|
|
Object Detection (HP)
|
97% |
2070
164.8 IPS |
|
|
Object Detection (Q)
|
94% |
1552
123.7 IPS |
|
|
Face Detection (SP)
|
100% |
2378
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
3883
46.1 IPS |
|
|
Face Detection (Q)
|
100% |
2467
29.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4728
36.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
7783
60.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
5741
44.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15722
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
24582
31.6 IPS |
|
|
Style Transfer (Q)
|
96% |
20418
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3406
125.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4573
168.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3405
125.7 IPS |
|
|
Text Classification (SP)
|
100% |
2314
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3795
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3734
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2611
45.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4192
72.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4271
73.8 IPS |
