iPhone 13 mini
Geekbench AI Score
3287
Single Precision Score
19594
Half Precision Score
22379
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | July 10 2025 10:11 AM |
| Views | 2 |
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 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% |
1339
249.1 IPS |
|
|
Image Classification (HP)
|
100% |
8857
1.65 KIPS |
|
|
Image Classification (Q)
|
96% |
10564
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1342
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
11814
191.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
14284
231.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6378
7.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
87271
101.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
93840
110.0 IPS |
|
|
Object Detection (SP)
|
100% |
1485
117.8 IPS |
|
|
Object Detection (HP)
|
99% |
10476
833.4 IPS |
|
|
Object Detection (Q)
|
91% |
11782
941.4 IPS |
|
|
Face Detection (SP)
|
100% |
2798
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
25139
298.7 IPS |
|
|
Face Detection (Q)
|
100% |
33767
401.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5432
41.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
53820
414.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
72094
563.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17262
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
156375
201.0 IPS |
|
|
Style Transfer (Q)
|
96% |
157877
203.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3939
145.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27938
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29168
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2422
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2356
3.14 KIPS |
|
|
Text Classification (Q)
|
93% |
2370
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3466
59.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6264
107.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7109
122.9 IPS |
