iPhone 13 Pro
Geekbench AI Score
1982
Single Precision Score
10285
Half Precision Score
10949
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Petenka315 |
| Upload Date | August 17 2024 01:50 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
935
174.0 IPS |
|
|
Image Classification (HP)
|
100% |
4599
855.3 IPS |
|
|
Image Classification (Q)
|
99% |
5078
947.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
668
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3772
61.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
3774
61.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5525
6.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
72458
84.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
75402
88.4 IPS |
|
|
Object Detection (SP)
|
100% |
1234
97.8 IPS |
|
|
Object Detection (HP)
|
99% |
5678
451.6 IPS |
|
|
Object Detection (Q)
|
93% |
7516
599.7 IPS |
|
|
Face Detection (SP)
|
100% |
1891
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
10528
125.1 IPS |
|
|
Face Detection (Q)
|
100% |
11552
137.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3746
28.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
35694
275.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
39883
308.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9695
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
97943
125.9 IPS |
|
|
Style Transfer (Q)
|
100% |
103642
133.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2293
84.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11845
437.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
15370
569.4 IPS |
|
|
Text Classification (SP)
|
100% |
1265
1.69 KIPS |
|
|
Text Classification (HP)
|
100% |
3110
4.15 KIPS |
|
|
Text Classification (Q)
|
93% |
1985
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1104
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1369
23.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1566
27.1 IPS |
