iPhone 13
Geekbench AI Score
3316
Single Precision Score
19680
Half Precision Score
22445
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | April 01 2025 12:21 AM |
| Views | 17 |
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% |
1353
251.6 IPS |
|
|
Image Classification (HP)
|
100% |
8686
1.62 KIPS |
|
|
Image Classification (Q)
|
96% |
10884
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1345
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12492
202.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
14314
232.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6526
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
87226
101.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
94124
110.3 IPS |
|
|
Object Detection (SP)
|
100% |
1484
117.7 IPS |
|
|
Object Detection (HP)
|
99% |
10790
858.3 IPS |
|
|
Object Detection (Q)
|
91% |
11852
947.1 IPS |
|
|
Face Detection (SP)
|
100% |
2780
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
26197
311.3 IPS |
|
|
Face Detection (Q)
|
100% |
32750
389.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5460
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
56747
437.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
73004
570.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17835
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
156348
201.0 IPS |
|
|
Style Transfer (Q)
|
96% |
152721
197.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3955
146.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28345
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29566
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2440
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
1997
2.67 KIPS |
|
|
Text Classification (Q)
|
93% |
2234
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3496
60.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6489
111.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7742
133.8 IPS |
