iPhone 13 Pro
Geekbench AI Score
3287
Single Precision Score
5708
Half Precision Score
4608
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | NycDriipy |
| Upload Date | December 01 2024 01:48 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1358
252.6 IPS |
|
|
Image Classification (HP)
|
100% |
2356
438.2 IPS |
|
|
Image Classification (Q)
|
96% |
1630
304.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1322
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2009
32.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2492
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6463
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
14198
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12062
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1465
116.2 IPS |
|
|
Object Detection (HP)
|
97% |
2749
218.9 IPS |
|
|
Object Detection (Q)
|
94% |
1940
154.6 IPS |
|
|
Face Detection (SP)
|
100% |
2744
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
5781
68.7 IPS |
|
|
Face Detection (Q)
|
100% |
3243
38.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5515
42.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11162
86.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7614
59.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17688
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26951
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22386
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3904
144.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4728
174.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3514
129.8 IPS |
|
|
Text Classification (SP)
|
100% |
2416
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4173
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4110
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3437
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5801
100.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5698
98.5 IPS |
