iPad16,6
Geekbench AI Score
4686
Single Precision Score
30949
Half Precision Score
39657
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | JESierra |
| Upload Date | August 15 2024 05:49 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,6 |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 3.96 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1975
367.2 IPS |
|
|
Image Classification (HP)
|
100% |
17501
3.25 KIPS |
|
|
Image Classification (Q)
|
99% |
19982
3.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13966
226.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
14182
229.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9982
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
118295
138.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
225090
264.0 IPS |
|
|
Object Detection (SP)
|
100% |
2217
175.8 IPS |
|
|
Object Detection (HP)
|
100% |
16721
1.33 KIPS |
|
|
Object Detection (Q)
|
91% |
24762
1.98 KIPS |
|
|
Face Detection (SP)
|
100% |
3979
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
26390
313.6 IPS |
|
|
Face Detection (Q)
|
100% |
45502
540.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8293
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
81945
631.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
91713
709.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25080
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
168056
216.0 IPS |
|
|
Style Transfer (Q)
|
100% |
168422
216.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5869
216.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49188
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
81710
3.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2932
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5772
7.70 KIPS |
|
|
Text Classification (Q)
|
93% |
5885
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3894
67.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16167
278.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18023
311.5 IPS |
