iPhone 13 mini
Geekbench AI Score
3263
Single Precision Score
19141
Half Precision Score
21420
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 03:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1369
254.5 IPS |
|
|
Image Classification (HP)
|
100% |
9227
1.72 KIPS |
|
|
Image Classification (Q)
|
96% |
9897
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1334
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12008
194.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
13818
224.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6196
7.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
87710
102.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
93675
109.8 IPS |
|
|
Object Detection (SP)
|
100% |
1443
114.4 IPS |
|
|
Object Detection (HP)
|
99% |
10904
867.4 IPS |
|
|
Object Detection (Q)
|
91% |
11656
931.3 IPS |
|
|
Face Detection (SP)
|
100% |
2804
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
25154
298.9 IPS |
|
|
Face Detection (Q)
|
100% |
33825
401.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5469
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
54898
423.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
73345
573.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17225
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
157900
203.0 IPS |
|
|
Style Transfer (Q)
|
96% |
152064
196.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3836
141.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26718
986.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27614
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2410
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
2270
3.03 KIPS |
|
|
Text Classification (Q)
|
93% |
2318
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3440
59.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4712
81.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5641
97.5 IPS |
