iPad mini iPad16,1
Geekbench AI Score
3890
Single Precision Score
26275
Half Precision Score
37285
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Wolfgang1756 |
| Upload Date | December 10 2024 02:57 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPad16,1 |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1739
323.4 IPS |
|
|
Image Classification (HP)
|
100% |
11178
2.08 KIPS |
|
|
Image Classification (Q)
|
97% |
15295
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1664
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15989
259.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
21069
341.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7592
8.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
104570
122.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
203723
238.8 IPS |
|
|
Object Detection (SP)
|
100% |
1799
142.7 IPS |
|
|
Object Detection (HP)
|
100% |
13727
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
19300
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
3385
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
34732
412.7 IPS |
|
|
Face Detection (Q)
|
100% |
51852
616.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6714
51.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
78663
606.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
130719
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
18726
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
199849
256.9 IPS |
|
|
Style Transfer (Q)
|
96% |
248457
320.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4543
167.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34096
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
62271
2.30 KIPS |
|
|
Text Classification (SP)
|
100% |
3243
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
4016
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4428
5.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3202
55.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8177
140.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8827
152.5 IPS |
