iPhone 13 Pro
Geekbench AI Score
3259
Single Precision Score
20337
Half Precision Score
23796
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Petenka315 |
| Upload Date | April 27 2025 04:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1330
247.4 IPS |
|
|
Image Classification (HP)
|
100% |
8921
1.66 KIPS |
|
|
Image Classification (Q)
|
96% |
10818
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1309
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12138
196.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
15694
254.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6355
7.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
90317
105.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
96311
112.9 IPS |
|
|
Object Detection (SP)
|
100% |
1450
115.0 IPS |
|
|
Object Detection (HP)
|
99% |
11020
876.6 IPS |
|
|
Object Detection (Q)
|
91% |
12156
971.4 IPS |
|
|
Face Detection (SP)
|
100% |
2668
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
29495
350.5 IPS |
|
|
Face Detection (Q)
|
100% |
37028
440.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5336
41.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
55903
430.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
83542
652.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17601
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
162183
208.5 IPS |
|
|
Style Transfer (Q)
|
96% |
170265
219.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3855
142.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26858
991.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30556
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2390
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
2462
3.29 KIPS |
|
|
Text Classification (Q)
|
93% |
2523
3.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3655
63.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6352
109.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7214
124.7 IPS |
