iPhone 13 mini
Geekbench AI Score
3310
Single Precision Score
18373
Half Precision Score
22041
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | woefio |
| Upload Date | December 04 2024 10:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1351
251.3 IPS |
|
|
Image Classification (HP)
|
100% |
8009
1.49 KIPS |
|
|
Image Classification (Q)
|
96% |
9389
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1370
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12296
199.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
14221
230.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6521
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
86178
100.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
93796
109.9 IPS |
|
|
Object Detection (SP)
|
100% |
1478
117.2 IPS |
|
|
Object Detection (HP)
|
99% |
10393
826.7 IPS |
|
|
Object Detection (Q)
|
91% |
11732
937.4 IPS |
|
|
Face Detection (SP)
|
100% |
2778
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
25543
303.5 IPS |
|
|
Face Detection (Q)
|
100% |
36054
428.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5483
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
53694
413.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
73841
577.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17758
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
151302
194.5 IPS |
|
|
Style Transfer (Q)
|
96% |
153457
198.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3919
144.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26466
977.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28149
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2407
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
1457
1.95 KIPS |
|
|
Text Classification (Q)
|
93% |
2242
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3477
59.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6211
107.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7143
123.4 IPS |
