iPhone 13 mini
Geekbench AI Score
3146
Single Precision Score
5518
Half Precision Score
4493
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 07 2025 03:13 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1329
247.2 IPS |
|
|
Image Classification (HP)
|
100% |
2354
437.8 IPS |
|
|
Image Classification (Q)
|
96% |
1620
302.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1309
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1976
32.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2394
38.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6077
7.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
13721
16.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11419
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1383
109.7 IPS |
|
|
Object Detection (HP)
|
97% |
2577
205.1 IPS |
|
|
Object Detection (Q)
|
94% |
1885
150.2 IPS |
|
|
Face Detection (SP)
|
100% |
2554
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
5305
63.0 IPS |
|
|
Face Detection (Q)
|
100% |
2959
35.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4917
37.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
9359
72.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6933
54.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16315
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26713
34.3 IPS |
|
|
Style Transfer (Q)
|
96% |
21759
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3715
137.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4720
174.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3586
132.4 IPS |
|
|
Text Classification (SP)
|
100% |
2418
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4182
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4141
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3531
60.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6081
105.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6067
104.8 IPS |
