iPhone 13
Geekbench AI Score
3297
Single Precision Score
5678
Half Precision Score
4582
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 01:40 PM |
| Views | 1 |
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% |
1370
254.7 IPS |
|
|
Image Classification (HP)
|
100% |
2372
441.1 IPS |
|
|
Image Classification (Q)
|
96% |
1638
305.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1402
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2503
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6423
7.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
13885
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12034
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1440
114.2 IPS |
|
|
Object Detection (HP)
|
97% |
2728
217.2 IPS |
|
|
Object Detection (Q)
|
94% |
1923
153.3 IPS |
|
|
Face Detection (SP)
|
100% |
2809
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
5673
67.4 IPS |
|
|
Face Detection (Q)
|
100% |
3167
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5472
42.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11146
86.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7609
59.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17340
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26841
34.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22179
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3874
143.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4717
174.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3487
128.8 IPS |
|
|
Text Classification (SP)
|
100% |
2429
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4065
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4087
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3416
58.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5682
98.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5655
97.7 IPS |
