iPad mini (5th generation)
Geekbench AI Score
650
Single Precision Score
782
Half Precision Score
249
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 06:33 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad mini (5th generation) |
| Model ID | iPad11,1 |
| Motherboard | J210AP |
| CPU Information | |
|---|---|
| Name | Apple A12 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 2.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
229
42.6 IPS |
|
|
Image Classification (HP)
|
100% |
270
50.1 IPS |
|
|
Image Classification (Q)
|
96% |
95
17.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
214
3.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
232
3.76 IPS |
|
|
Image Segmentation (Q)
|
99% |
152
2.46 IPS |
|
|
Pose Estimation (SP)
|
100% |
1584
1.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
2271
2.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
670
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
518
41.1 IPS |
|
|
Object Detection (HP)
|
100% |
552
43.8 IPS |
|
|
Object Detection (Q)
|
92% |
115
9.19 IPS |
|
|
Face Detection (SP)
|
100% |
1917
22.8 IPS |
|
|
Face Detection (HP)
|
100% |
2219
26.4 IPS |
|
|
Face Detection (Q)
|
100% |
206
2.44 IPS |
|
|
Depth Estimation (SP)
|
100% |
1752
13.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2540
19.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
367
2.86 IPS |
|
|
Style Transfer (SP)
|
100% |
4597
5.91 IPS |
|
|
Style Transfer (HP)
|
100% |
5583
7.18 IPS |
|
|
Style Transfer (Q)
|
96% |
1457
1.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
797
29.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1049
38.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
241
8.91 IPS |
|
|
Text Classification (SP)
|
100% |
149
198.5 IPS |
|
|
Text Classification (HP)
|
100% |
211
282.1 IPS |
|
|
Text Classification (Q)
|
93% |
198
266.3 IPS |
|
|
Machine Translation (SP)
|
100% |
184
3.18 IPS |
|
|
Machine Translation (HP)
|
100% |
158
2.73 IPS |
|
|
Machine Translation (Q)
|
98% |
158
2.73 IPS |
