iPhone 13 mini
Geekbench AI Score
3140
Single Precision Score
5511
Half Precision Score
4452
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 08 2025 09:34 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| Model | iPhone 13 mini |
| Model ID | iPhone14,4 |
| Motherboard | D16AP |
| 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 | 3.59 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1349
250.9 IPS |
|
|
Image Classification (HP)
|
100% |
2343
435.7 IPS |
|
|
Image Classification (Q)
|
96% |
1617
301.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1304
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1942
31.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2369
38.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5849
6.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
13179
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
10932
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1346
106.8 IPS |
|
|
Object Detection (HP)
|
97% |
2581
205.4 IPS |
|
|
Object Detection (Q)
|
94% |
1829
145.8 IPS |
|
|
Face Detection (SP)
|
100% |
2674
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
5250
62.4 IPS |
|
|
Face Detection (Q)
|
100% |
2950
35.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5037
38.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10131
78.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7033
55.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15952
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26154
33.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21346
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3658
135.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4737
174.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3531
130.4 IPS |
|
|
Text Classification (SP)
|
100% |
2445
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4246
5.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4216
5.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3502
60.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5976
103.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6060
104.7 IPS |
