iPhone 13
Geekbench AI Score
3048
Single Precision Score
5426
Half Precision Score
4407
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | vchernomya |
| Upload Date | May 13 2025 02:34 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1343
249.8 IPS |
|
|
Image Classification (HP)
|
100% |
2354
437.8 IPS |
|
|
Image Classification (Q)
|
96% |
1623
303.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1253
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1926
31.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2325
37.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5737
6.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
13417
15.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11104
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1245
98.7 IPS |
|
|
Object Detection (HP)
|
97% |
2582
205.5 IPS |
|
|
Object Detection (Q)
|
94% |
1822
145.3 IPS |
|
|
Face Detection (SP)
|
100% |
2580
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
5125
60.9 IPS |
|
|
Face Detection (Q)
|
100% |
2871
34.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4916
37.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10180
78.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
6887
53.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15810
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
25103
32.3 IPS |
|
|
Style Transfer (Q)
|
96% |
20907
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3626
133.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4671
172.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3416
126.1 IPS |
|
|
Text Classification (SP)
|
100% |
2387
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
4355
5.81 KIPS |
|
|
Text Classification (Q)
|
93% |
4331
5.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3326
57.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5288
91.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5929
102.5 IPS |
