iPhone 13
Geekbench AI Score
3272
Single Precision Score
20609
Half Precision Score
23665
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | jcl94 |
| Upload Date | May 04 2025 09:00 AM |
| Views | 5 |
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 |
| 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% |
1285
239.0 IPS |
|
|
Image Classification (HP)
|
100% |
8665
1.61 KIPS |
|
|
Image Classification (Q)
|
96% |
10895
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1320
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13592
220.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
16290
264.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6356
7.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
94519
110.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
96047
112.6 IPS |
|
|
Object Detection (SP)
|
100% |
1464
116.1 IPS |
|
|
Object Detection (HP)
|
99% |
10947
870.8 IPS |
|
|
Object Detection (Q)
|
91% |
11882
949.4 IPS |
|
|
Face Detection (SP)
|
100% |
2790
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
28582
339.6 IPS |
|
|
Face Detection (Q)
|
100% |
36110
429.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5265
40.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
56831
437.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
74770
584.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17336
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
166394
213.9 IPS |
|
|
Style Transfer (Q)
|
96% |
169227
218.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3860
142.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27044
998.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34979
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
2444
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2398
3.20 KIPS |
|
|
Text Classification (Q)
|
93% |
2414
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3713
64.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6474
111.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7051
121.9 IPS |
