iPhone 13 mini
Geekbench AI Score
3176
Single Precision Score
5560
Half Precision Score
4495
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | anthonya1 |
| Upload Date | August 26 2025 04:27 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1334
248.1 IPS |
|
|
Image Classification (HP)
|
100% |
2364
439.7 IPS |
|
|
Image Classification (Q)
|
96% |
1625
303.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1296
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1929
31.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2384
38.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5967
6.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
13262
15.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11249
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1377
109.2 IPS |
|
|
Object Detection (HP)
|
97% |
2618
208.5 IPS |
|
|
Object Detection (Q)
|
94% |
1851
147.5 IPS |
|
|
Face Detection (SP)
|
100% |
2755
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
5405
64.2 IPS |
|
|
Face Detection (Q)
|
100% |
2989
35.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5149
39.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10365
80.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7139
55.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16410
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26498
34.1 IPS |
|
|
Style Transfer (Q)
|
96% |
21536
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3667
135.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4696
173.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3512
129.7 IPS |
|
|
Text Classification (SP)
|
100% |
2453
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4275
5.71 KIPS |
|
|
Text Classification (Q)
|
93% |
4255
5.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3513
60.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5990
103.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6090
105.2 IPS |
