iPhone 13 mini
Geekbench AI Score
3056
Single Precision Score
20059
Half Precision Score
22795
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Skyforger |
| Upload Date | September 17 2025 09:16 AM |
| Views | 7 |
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% |
1267
235.6 IPS |
|
|
Image Classification (HP)
|
100% |
8127
1.51 KIPS |
|
|
Image Classification (Q)
|
96% |
10688
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1276
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13080
212.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
15748
255.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5546
6.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
84572
98.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
85447
100.1 IPS |
|
|
Object Detection (SP)
|
100% |
1271
100.8 IPS |
|
|
Object Detection (HP)
|
99% |
11476
912.9 IPS |
|
|
Object Detection (Q)
|
91% |
11947
954.6 IPS |
|
|
Face Detection (SP)
|
100% |
2666
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
28411
337.6 IPS |
|
|
Face Detection (Q)
|
100% |
36232
430.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4951
38.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
53814
414.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
71308
557.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15986
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
155818
200.3 IPS |
|
|
Style Transfer (Q)
|
96% |
140260
181.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3436
126.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27780
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30028
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2527
3.37 KIPS |
|
|
Text Classification (HP)
|
100% |
2478
3.31 KIPS |
|
|
Text Classification (Q)
|
93% |
2529
3.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3403
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6234
107.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8013
138.5 IPS |
