iPhone 13 Pro
Geekbench AI Score
2990
Single Precision Score
4529
Half Precision Score
3873
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 09:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1414
262.9 IPS |
|
|
Image Classification (HP)
|
100% |
1766
328.5 IPS |
|
|
Image Classification (Q)
|
96% |
1356
253.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1150
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1148
18.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1674
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5809
6.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
13407
15.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11598
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1457
115.6 IPS |
|
|
Object Detection (HP)
|
97% |
2141
170.5 IPS |
|
|
Object Detection (Q)
|
94% |
1625
129.5 IPS |
|
|
Face Detection (SP)
|
100% |
2395
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
4051
48.1 IPS |
|
|
Face Detection (Q)
|
100% |
2607
31.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4969
38.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
7996
61.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
6049
47.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16490
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
25673
33.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21240
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3508
129.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4895
180.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3482
128.6 IPS |
|
|
Text Classification (SP)
|
100% |
2376
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
3608
4.82 KIPS |
|
|
Text Classification (Q)
|
93% |
3554
4.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
2541
43.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4249
73.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4293
74.2 IPS |
