iPad mini (6th generation)
Geekbench AI Score
2745
Single Precision Score
2935
Half Precision Score
2724
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | MidniteMarv |
| Upload Date | February 09 2025 02:40 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
653
121.4 IPS |
|
|
Image Classification (HP)
|
100% |
671
124.7 IPS |
|
|
Image Classification (Q)
|
97% |
573
107.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2146
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2268
36.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2228
36.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10940
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
11683
13.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
10882
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1213
96.2 IPS |
|
|
Object Detection (HP)
|
100% |
1017
80.7 IPS |
|
|
Object Detection (Q)
|
91% |
889
71.1 IPS |
|
|
Face Detection (SP)
|
100% |
3962
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
4250
50.5 IPS |
|
|
Face Detection (Q)
|
100% |
3733
44.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7768
59.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
7156
55.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
6752
52.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18128
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
21803
28.0 IPS |
|
|
Style Transfer (Q)
|
96% |
20370
26.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2885
106.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2896
106.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2522
93.1 IPS |
|
|
Text Classification (SP)
|
100% |
2367
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4076
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4053
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
343
5.91 IPS |
|
|
Machine Translation (HP)
|
100% |
336
5.80 IPS |
|
|
Machine Translation (Q)
|
98% |
348
6.01 IPS |
