iPhone 13 mini
Geekbench AI Score
2935
Single Precision Score
5406
Half Precision Score
4359
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 18 2025 10:51 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1212
225.4 IPS |
|
|
Image Classification (HP)
|
100% |
2287
425.3 IPS |
|
|
Image Classification (Q)
|
96% |
1562
291.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1222
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1857
30.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2257
36.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5201
6.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
12738
14.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
10804
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
1189
94.3 IPS |
|
|
Object Detection (HP)
|
97% |
2523
200.8 IPS |
|
|
Object Detection (Q)
|
94% |
1790
142.7 IPS |
|
|
Face Detection (SP)
|
100% |
2541
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
5145
61.1 IPS |
|
|
Face Detection (Q)
|
100% |
2868
34.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4808
37.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10026
77.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6959
54.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15447
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
25491
32.8 IPS |
|
|
Style Transfer (Q)
|
96% |
20744
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3389
125.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4637
171.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3445
127.2 IPS |
|
|
Text Classification (SP)
|
100% |
2483
3.31 KIPS |
|
|
Text Classification (HP)
|
99% |
4139
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4129
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3272
56.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6195
107.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6178
106.8 IPS |
