iPhone 13 mini
Geekbench AI Score
2955
Single Precision Score
4431
Half Precision Score
3745
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | kystel |
| Upload Date | September 24 2025 03:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7.2 |
| 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 | 3.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1421
264.3 IPS |
|
|
Image Classification (HP)
|
100% |
1775
330.1 IPS |
|
|
Image Classification (Q)
|
96% |
1356
253.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1156
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1125
18.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1673
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5658
6.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
13271
15.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
10874
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
1389
110.2 IPS |
|
|
Object Detection (HP)
|
97% |
2046
162.9 IPS |
|
|
Object Detection (Q)
|
94% |
1560
124.3 IPS |
|
|
Face Detection (SP)
|
100% |
2380
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
3868
46.0 IPS |
|
|
Face Detection (Q)
|
100% |
2489
29.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4746
36.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
7747
59.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
5794
45.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15697
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
24512
31.5 IPS |
|
|
Style Transfer (Q)
|
96% |
20039
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3392
125.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4631
171.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3382
124.9 IPS |
|
|
Text Classification (SP)
|
100% |
2371
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
3743
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3449
4.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2760
47.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4230
73.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4190
72.4 IPS |
