iPhone 13 Pro
Geekbench AI Score
3273
Single Precision Score
20056
Half Precision Score
22939
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Kokkinho |
| Upload Date | April 30 2025 04:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1349
250.8 IPS |
|
|
Image Classification (HP)
|
100% |
8560
1.59 KIPS |
|
|
Image Classification (Q)
|
96% |
10131
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1251
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12232
198.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
15400
249.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6482
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
89144
104.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
96406
113.0 IPS |
|
|
Object Detection (SP)
|
100% |
1470
116.6 IPS |
|
|
Object Detection (HP)
|
99% |
10696
850.9 IPS |
|
|
Object Detection (Q)
|
91% |
11869
948.4 IPS |
|
|
Face Detection (SP)
|
100% |
2679
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
29562
351.3 IPS |
|
|
Face Detection (Q)
|
100% |
37127
441.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5367
41.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
56249
433.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
73421
573.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17836
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
149991
192.8 IPS |
|
|
Style Transfer (Q)
|
96% |
166992
215.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3892
143.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27779
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28300
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2410
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
2485
3.32 KIPS |
|
|
Text Classification (Q)
|
93% |
2502
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3655
63.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6128
105.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7011
121.2 IPS |
