iPad mini (6th generation)
Geekbench AI Score
1893
Single Precision Score
10085
Half Precision Score
10965
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | MusicArt001 |
| Upload Date | August 22 2024 12:23 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
907
168.6 IPS |
|
|
Image Classification (HP)
|
100% |
3667
682.0 IPS |
|
|
Image Classification (Q)
|
99% |
4650
867.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
605
9.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
3688
59.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
3750
60.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5568
6.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
63701
74.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
65985
77.4 IPS |
|
|
Object Detection (SP)
|
100% |
957
75.9 IPS |
|
|
Object Detection (HP)
|
99% |
5226
415.7 IPS |
|
|
Object Detection (Q)
|
93% |
6254
499.0 IPS |
|
|
Face Detection (SP)
|
100% |
1641
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
9730
115.6 IPS |
|
|
Face Detection (Q)
|
100% |
11500
136.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3245
25.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
33883
261.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
37397
289.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9675
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
96823
124.5 IPS |
|
|
Style Transfer (Q)
|
100% |
99941
128.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2885
106.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12874
475.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
14424
534.4 IPS |
|
|
Text Classification (SP)
|
100% |
1008
1.35 KIPS |
|
|
Text Classification (HP)
|
100% |
2817
3.76 KIPS |
|
|
Text Classification (Q)
|
93% |
2659
3.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1352
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2089
36.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2118
36.6 IPS |
