iPad mini (6th generation)
Geekbench AI Score
2844
Single Precision Score
4301
Half Precision Score
3528
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Bustycat |
| Upload Date | August 16 2024 04:15 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 3.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1349
250.9 IPS |
|
|
Image Classification (HP)
|
100% |
1679
312.3 IPS |
|
|
Image Classification (Q)
|
99% |
1668
311.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1093
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1054
17.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
1052
17.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5380
6.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
12735
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
10668
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
1380
109.5 IPS |
|
|
Object Detection (HP)
|
97% |
2013
160.2 IPS |
|
|
Object Detection (Q)
|
94% |
1527
121.7 IPS |
|
|
Face Detection (SP)
|
100% |
2325
27.6 IPS |
|
|
Face Detection (HP)
|
100% |
3782
44.9 IPS |
|
|
Face Detection (Q)
|
100% |
2418
28.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4656
35.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
7561
58.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
3510
27.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15509
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
24081
31.0 IPS |
|
|
Style Transfer (Q)
|
100% |
24091
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3327
122.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4371
161.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3312
122.7 IPS |
|
|
Text Classification (SP)
|
100% |
2357
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
3880
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3801
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2402
41.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4097
70.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4062
70.2 IPS |
