iPhone 13 mini
Geekbench AI Score
3241
Single Precision Score
5680
Half Precision Score
4612
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | July 02 2025 06:48 AM |
| Views | 3 |
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% |
1310
243.7 IPS |
|
|
Image Classification (HP)
|
100% |
2354
437.7 IPS |
|
|
Image Classification (Q)
|
96% |
1623
303.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1314
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1969
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2428
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6427
7.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
14338
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11945
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1420
112.6 IPS |
|
|
Object Detection (HP)
|
97% |
2710
215.7 IPS |
|
|
Object Detection (Q)
|
94% |
1920
153.0 IPS |
|
|
Face Detection (SP)
|
100% |
2715
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
5496
65.3 IPS |
|
|
Face Detection (Q)
|
100% |
3142
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5345
41.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10437
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7271
56.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17127
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
27403
35.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22262
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3753
138.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4739
175.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3569
131.8 IPS |
|
|
Text Classification (SP)
|
100% |
2422
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4229
5.65 KIPS |
|
|
Text Classification (Q)
|
93% |
4204
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3608
62.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6167
106.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6325
109.3 IPS |
