iPad mini (6th generation)
Geekbench AI Score
3155
Single Precision Score
5427
Half Precision Score
4385
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 12:37 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1283
238.7 IPS |
|
|
Image Classification (HP)
|
100% |
2182
405.8 IPS |
|
|
Image Classification (Q)
|
96% |
1518
283.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1271
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1846
29.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2343
38.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5984
6.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
13245
15.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11155
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1363
108.1 IPS |
|
|
Object Detection (HP)
|
97% |
2542
202.3 IPS |
|
|
Object Detection (Q)
|
94% |
1817
144.8 IPS |
|
|
Face Detection (SP)
|
100% |
2639
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
5453
64.8 IPS |
|
|
Face Detection (Q)
|
100% |
3029
36.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5231
40.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10545
81.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7200
56.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16944
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26084
33.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21436
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3763
138.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4683
172.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3393
125.3 IPS |
|
|
Text Classification (SP)
|
100% |
2416
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4217
5.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4195
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3464
59.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5527
95.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5485
94.8 IPS |
