iPhone 13 Pro
Geekbench AI Score
3216
Single Precision Score
16936
Half Precision Score
18298
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 01:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1343
249.8 IPS |
|
|
Image Classification (HP)
|
100% |
8866
1.65 KIPS |
|
|
Image Classification (Q)
|
96% |
9573
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1285
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7097
115.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7578
122.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6057
7.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
90216
105.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
95436
111.9 IPS |
|
|
Object Detection (SP)
|
100% |
1429
113.3 IPS |
|
|
Object Detection (HP)
|
99% |
10949
870.9 IPS |
|
|
Object Detection (Q)
|
91% |
11178
893.2 IPS |
|
|
Face Detection (SP)
|
100% |
2681
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
26202
311.3 IPS |
|
|
Face Detection (Q)
|
100% |
32522
386.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5325
41.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
53462
411.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
71662
560.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17191
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
162223
208.5 IPS |
|
|
Style Transfer (Q)
|
96% |
148879
192.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3862
142.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26618
982.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30498
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2446
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2328
3.11 KIPS |
|
|
Text Classification (Q)
|
93% |
2387
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3421
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2219
38.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2153
37.2 IPS |
