iPhone 13 mini
Geekbench AI Score
3025
Single Precision Score
19529
Half Precision Score
21409
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ekx |
| Upload Date | September 16 2025 06:50 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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
225.5 IPS |
|
|
Image Classification (HP)
|
100% |
8496
1.58 KIPS |
|
|
Image Classification (Q)
|
96% |
9959
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1258
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12252
198.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
14177
229.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5241
6.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
79180
92.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
86178
101.0 IPS |
|
|
Object Detection (SP)
|
100% |
1276
101.2 IPS |
|
|
Object Detection (HP)
|
99% |
10284
818.1 IPS |
|
|
Object Detection (Q)
|
91% |
11919
952.4 IPS |
|
|
Face Detection (SP)
|
100% |
2673
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
28286
336.1 IPS |
|
|
Face Detection (Q)
|
100% |
35700
424.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4960
38.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
57085
439.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
62563
488.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15969
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
151184
194.3 IPS |
|
|
Style Transfer (Q)
|
96% |
142450
183.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3472
128.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29799
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27800
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2562
3.42 KIPS |
|
|
Text Classification (HP)
|
100% |
2097
2.80 KIPS |
|
|
Text Classification (Q)
|
93% |
2253
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3349
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6242
107.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7001
121.0 IPS |
