iPhone 13 mini
Geekbench AI Score
2632
Single Precision Score
2829
Half Precision Score
2549
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | MidniteMarv |
| Upload Date | February 10 2025 05:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
977
181.7 IPS |
|
|
Image Classification (HP)
|
100% |
902
167.8 IPS |
|
|
Image Classification (Q)
|
97% |
716
133.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1879
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2024
32.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1959
31.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9268
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10028
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9253
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1109
87.9 IPS |
|
|
Object Detection (HP)
|
100% |
977
77.5 IPS |
|
|
Object Detection (Q)
|
91% |
798
63.8 IPS |
|
|
Face Detection (SP)
|
100% |
3496
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
3637
43.2 IPS |
|
|
Face Detection (Q)
|
100% |
3298
39.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6387
49.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6243
48.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
6141
48.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16638
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19028
24.5 IPS |
|
|
Style Transfer (Q)
|
96% |
17737
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2848
105.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2871
106.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2466
91.0 IPS |
|
|
Text Classification (SP)
|
100% |
2424
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4107
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4086
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
330
5.68 IPS |
|
|
Machine Translation (HP)
|
100% |
361
6.22 IPS |
|
|
Machine Translation (Q)
|
98% |
309
5.35 IPS |
