iPhone 13
Geekbench AI Score
3341
Single Precision Score
5729
Half Precision Score
4980
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Alvy_Aryandi |
| Upload Date | August 17 2024 12:23 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 3.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1362
253.4 IPS |
|
|
Image Classification (HP)
|
100% |
2357
438.3 IPS |
|
|
Image Classification (Q)
|
99% |
2358
439.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1355
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2021
32.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
2031
32.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6699
7.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
14424
16.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12118
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1491
118.2 IPS |
|
|
Object Detection (HP)
|
97% |
2764
220.1 IPS |
|
|
Object Detection (Q)
|
94% |
1960
156.3 IPS |
|
|
Face Detection (SP)
|
100% |
2878
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
5840
69.4 IPS |
|
|
Face Detection (Q)
|
100% |
3286
39.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5522
42.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11314
87.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
11286
87.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17848
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26941
34.6 IPS |
|
|
Style Transfer (Q)
|
100% |
27140
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3926
145.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4693
173.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3452
127.9 IPS |
|
|
Text Classification (SP)
|
100% |
2403
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4103
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4074
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3514
60.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5855
101.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5837
100.9 IPS |
