iPad mini (6th generation)
Geekbench AI Score
3164
Single Precision Score
18913
Half Precision Score
21309
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 07:36 PM |
| Views | 3 |
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% |
1295
240.8 IPS |
|
|
Image Classification (HP)
|
100% |
9283
1.73 KIPS |
|
|
Image Classification (Q)
|
96% |
9979
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1254
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
11311
183.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
14202
230.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6119
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
77949
91.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
80896
94.8 IPS |
|
|
Object Detection (SP)
|
100% |
1411
112.0 IPS |
|
|
Object Detection (HP)
|
99% |
10742
854.5 IPS |
|
|
Object Detection (Q)
|
91% |
11010
879.8 IPS |
|
|
Face Detection (SP)
|
100% |
2600
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
21143
251.2 IPS |
|
|
Face Detection (Q)
|
100% |
29801
354.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5263
40.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
53192
409.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
69786
545.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16907
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
145374
186.9 IPS |
|
|
Style Transfer (Q)
|
96% |
138985
179.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3866
142.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27337
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29403
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2396
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
2398
3.20 KIPS |
|
|
Text Classification (Q)
|
93% |
2516
3.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3352
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6217
107.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7154
123.6 IPS |
