iPad mini (6th generation)
Geekbench AI Score
3189
Single Precision Score
19043
Half Precision Score
21488
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | MidniteMarv |
| Upload Date | February 09 2025 02:43 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| Model | iPad mini (6th generation) |
| Model ID | iPad14,2 |
| Motherboard | J311AP |
| 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% |
1286
239.2 IPS |
|
|
Image Classification (HP)
|
100% |
9141
1.70 KIPS |
|
|
Image Classification (Q)
|
96% |
9883
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1271
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
11706
189.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
14128
229.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6240
7.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
77787
90.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
81018
95.0 IPS |
|
|
Object Detection (SP)
|
100% |
1422
112.8 IPS |
|
|
Object Detection (HP)
|
99% |
10820
860.7 IPS |
|
|
Object Detection (Q)
|
91% |
11532
921.5 IPS |
|
|
Face Detection (SP)
|
100% |
2654
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
21513
255.6 IPS |
|
|
Face Detection (Q)
|
100% |
30304
360.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5295
40.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
52977
408.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
73072
571.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17031
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
147187
189.2 IPS |
|
|
Style Transfer (Q)
|
96% |
139612
180.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3865
142.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27526
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29316
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2392
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
2424
3.24 KIPS |
|
|
Text Classification (Q)
|
93% |
2489
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3398
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6222
107.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7135
123.3 IPS |
