iPhone 13 mini
Geekbench AI Score
3184
Single Precision Score
5567
Half Precision Score
4501
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 09 2025 07:10 PM |
| Views | 2 |
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% |
1353
251.7 IPS |
|
|
Image Classification (HP)
|
100% |
2358
438.5 IPS |
|
|
Image Classification (Q)
|
96% |
1624
303.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1310
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1931
31.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2365
38.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6063
7.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
13511
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11213
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1372
108.9 IPS |
|
|
Object Detection (HP)
|
97% |
2622
208.7 IPS |
|
|
Object Detection (Q)
|
94% |
1877
149.6 IPS |
|
|
Face Detection (SP)
|
100% |
2700
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
5346
63.5 IPS |
|
|
Face Detection (Q)
|
100% |
3013
35.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5077
39.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10233
79.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7085
55.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16492
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26627
34.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21694
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3683
136.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4732
174.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3552
131.2 IPS |
|
|
Text Classification (SP)
|
100% |
2440
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4241
5.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4191
5.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3584
61.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6067
104.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6128
105.9 IPS |
