iPhone 13 mini
Geekbench AI Score
1862
Single Precision Score
10885
Half Precision Score
11258
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Jloloew |
| Upload Date | August 16 2024 03:08 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 3.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
947
176.1 IPS |
|
|
Image Classification (HP)
|
100% |
4481
833.3 IPS |
|
|
Image Classification (Q)
|
99% |
5120
955.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
636
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3873
62.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
3936
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5217
6.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
73946
86.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
56949
66.8 IPS |
|
|
Object Detection (SP)
|
100% |
901
71.5 IPS |
|
|
Object Detection (HP)
|
99% |
5918
470.8 IPS |
|
|
Object Detection (Q)
|
93% |
6726
536.7 IPS |
|
|
Face Detection (SP)
|
100% |
1664
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
10355
123.0 IPS |
|
|
Face Detection (Q)
|
100% |
12161
144.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3044
23.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35042
270.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
37008
286.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8990
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
102472
131.7 IPS |
|
|
Style Transfer (Q)
|
100% |
100627
129.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2859
105.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13553
500.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
15490
573.9 IPS |
|
|
Text Classification (SP)
|
100% |
1010
1.35 KIPS |
|
|
Text Classification (HP)
|
100% |
2887
3.85 KIPS |
|
|
Text Classification (Q)
|
93% |
2973
3.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
1347
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2114
36.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2032
35.1 IPS |
