iPhone 13 mini
Geekbench AI Score
2439
Single Precision Score
4839
Half Precision Score
3803
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | DDriver |
| Upload Date | October 14 2025 04:03 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
972
180.8 IPS |
|
|
Image Classification (HP)
|
100% |
2155
400.9 IPS |
|
|
Image Classification (Q)
|
96% |
1311
244.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1062
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1674
27.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2058
33.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4487
5.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
9735
11.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
9366
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1083
85.9 IPS |
|
|
Object Detection (HP)
|
97% |
2325
185.1 IPS |
|
|
Object Detection (Q)
|
94% |
1626
129.6 IPS |
|
|
Face Detection (SP)
|
100% |
2022
24.0 IPS |
|
|
Face Detection (HP)
|
100% |
4311
51.2 IPS |
|
|
Face Detection (Q)
|
100% |
2248
26.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3828
29.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
9050
70.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
5748
44.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11023
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23524
30.2 IPS |
|
|
Style Transfer (Q)
|
96% |
16073
20.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2767
102.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4034
149.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3317
122.5 IPS |
|
|
Text Classification (SP)
|
100% |
2520
3.36 KIPS |
|
|
Text Classification (HP)
|
99% |
4378
5.84 KIPS |
|
|
Text Classification (Q)
|
93% |
4294
5.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2503
43.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5326
92.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5214
90.1 IPS |
