iPad mini (6th generation)
Geekbench AI Score
3156
Single Precision Score
19088
Half Precision Score
21348
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | khancool96 |
| Upload Date | December 12 2024 05:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad mini (6th generation) |
| Model ID | iPad14,1 |
| Motherboard | J310AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.92 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1296
240.9 IPS |
|
|
Image Classification (HP)
|
100% |
9377
1.74 KIPS |
|
|
Image Classification (Q)
|
96% |
10191
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1263
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
11828
191.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
12715
206.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6032
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
77060
89.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
80929
94.9 IPS |
|
|
Object Detection (SP)
|
100% |
1397
110.8 IPS |
|
|
Object Detection (HP)
|
99% |
10689
850.3 IPS |
|
|
Object Detection (Q)
|
91% |
11957
955.4 IPS |
|
|
Face Detection (SP)
|
100% |
2607
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
21164
251.5 IPS |
|
|
Face Detection (Q)
|
100% |
31281
371.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5253
40.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
53939
415.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
69356
542.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16908
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
147692
189.9 IPS |
|
|
Style Transfer (Q)
|
96% |
138853
179.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3857
142.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27673
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29336
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2408
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
2407
3.21 KIPS |
|
|
Text Classification (Q)
|
93% |
2501
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3314
57.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6260
107.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7095
122.6 IPS |
