iPhone 13 mini
Geekbench AI Score
3150
Single Precision Score
5532
Half Precision Score
4443
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 11:40 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1350
251.0 IPS |
|
|
Image Classification (HP)
|
100% |
2365
439.8 IPS |
|
|
Image Classification (Q)
|
96% |
1640
306.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1326
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1930
31.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2349
38.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5749
6.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
13191
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11126
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1358
107.7 IPS |
|
|
Object Detection (HP)
|
97% |
2602
207.1 IPS |
|
|
Object Detection (Q)
|
94% |
1823
145.3 IPS |
|
|
Face Detection (SP)
|
100% |
2628
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
5269
62.6 IPS |
|
|
Face Detection (Q)
|
100% |
2934
34.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5006
38.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10258
79.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6965
54.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16339
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
25835
33.2 IPS |
|
|
Style Transfer (Q)
|
96% |
20825
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3661
135.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4753
175.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3506
129.4 IPS |
|
|
Text Classification (SP)
|
100% |
2438
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4238
5.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4246
5.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3591
61.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6100
105.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6058
104.7 IPS |
