iPhone 13 mini
Geekbench AI Score
3331
Single Precision Score
19258
Half Precision Score
22064
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | tss6147 |
| Upload Date | February 01 2025 08:57 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1359
252.8 IPS |
|
|
Image Classification (HP)
|
100% |
7956
1.48 KIPS |
|
|
Image Classification (Q)
|
96% |
9097
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1385
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12979
210.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
15342
248.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6427
7.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
87046
101.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
93308
109.4 IPS |
|
|
Object Detection (SP)
|
100% |
1492
118.3 IPS |
|
|
Object Detection (HP)
|
99% |
10117
804.8 IPS |
|
|
Object Detection (Q)
|
91% |
11469
916.4 IPS |
|
|
Face Detection (SP)
|
100% |
2837
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
28253
335.7 IPS |
|
|
Face Detection (Q)
|
100% |
35655
423.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5490
42.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
56563
435.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
72202
564.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17976
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
151418
194.7 IPS |
|
|
Style Transfer (Q)
|
96% |
155420
200.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3984
147.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28733
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28446
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2410
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
1783
2.38 KIPS |
|
|
Text Classification (Q)
|
93% |
2164
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3472
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6227
107.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7435
128.5 IPS |
