iPhone 13
Geekbench AI Score
3262
Single Precision Score
19638
Half Precision Score
22049
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | suvash |
| Upload Date | April 23 2025 12:35 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1357
252.3 IPS |
|
|
Image Classification (HP)
|
100% |
9148
1.70 KIPS |
|
|
Image Classification (Q)
|
96% |
10511
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1337
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12173
197.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
14307
231.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6231
7.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
85544
99.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
93354
109.4 IPS |
|
|
Object Detection (SP)
|
100% |
1457
115.6 IPS |
|
|
Object Detection (HP)
|
99% |
10559
840.0 IPS |
|
|
Object Detection (Q)
|
91% |
11269
900.5 IPS |
|
|
Face Detection (SP)
|
100% |
2768
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
25272
300.3 IPS |
|
|
Face Detection (Q)
|
100% |
34702
412.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5381
41.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
54615
420.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
70012
547.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17237
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
157705
202.7 IPS |
|
|
Style Transfer (Q)
|
96% |
152636
197.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3856
142.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26515
979.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27800
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2411
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
2338
3.12 KIPS |
|
|
Text Classification (Q)
|
93% |
2401
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3471
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6288
108.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6936
119.9 IPS |
