iPhone 13 Pro
Geekbench AI Score
3797
Single Precision Score
4257
Half Precision Score
3725
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | NycDriipy |
| Upload Date | December 01 2024 01:54 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1703
316.6 IPS |
|
|
Image Classification (HP)
|
100% |
1484
275.9 IPS |
|
|
Image Classification (Q)
|
97% |
1448
270.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2338
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2457
39.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2467
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11259
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12263
14.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11372
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1979
156.9 IPS |
|
|
Object Detection (HP)
|
100% |
2044
162.1 IPS |
|
|
Object Detection (Q)
|
91% |
1632
130.4 IPS |
|
|
Face Detection (SP)
|
100% |
4628
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
6205
73.7 IPS |
|
|
Face Detection (Q)
|
100% |
3999
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8490
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9010
69.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7580
59.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18903
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23279
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21726
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4853
179.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4926
181.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3823
141.2 IPS |
|
|
Text Classification (SP)
|
100% |
2394
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
4120
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4068
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
815
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
810
14.0 IPS |
|
|
Machine Translation (Q)
|
98% |
758
13.1 IPS |
