iPhone 13 mini
Geekbench AI Score
2759
Single Precision Score
2903
Half Precision Score
2675
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | woefio |
| Upload Date | December 04 2024 10:42 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 3.59 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
645
119.9 IPS |
|
|
Image Classification (HP)
|
100% |
812
151.0 IPS |
|
|
Image Classification (Q)
|
97% |
674
125.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1942
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2037
33.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2058
33.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9242
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
9949
11.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
9139
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1753
139.1 IPS |
|
|
Object Detection (HP)
|
100% |
974
77.2 IPS |
|
|
Object Detection (Q)
|
91% |
766
61.2 IPS |
|
|
Face Detection (SP)
|
100% |
4219
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
4765
56.6 IPS |
|
|
Face Detection (Q)
|
100% |
3446
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7567
58.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
7950
61.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
6494
50.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16551
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19103
24.6 IPS |
|
|
Style Transfer (Q)
|
96% |
17383
22.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2910
107.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2698
99.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3282
121.2 IPS |
|
|
Text Classification (SP)
|
100% |
2431
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4129
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4150
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
337
5.81 IPS |
|
|
Machine Translation (HP)
|
100% |
330
5.69 IPS |
|
|
Machine Translation (Q)
|
98% |
365
6.31 IPS |
