iPad16,6
Geekbench AI Score
4663
Single Precision Score
31302
Half Precision Score
39617
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | gnu08 |
| Upload Date | August 20 2024 02:48 AM |
| Views | 11 |
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 | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1960
364.6 IPS |
|
|
Image Classification (HP)
|
100% |
17708
3.29 KIPS |
|
|
Image Classification (Q)
|
99% |
19335
3.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2081
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13971
226.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
14000
226.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9859
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
118013
137.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
223757
262.5 IPS |
|
|
Object Detection (SP)
|
100% |
2204
174.8 IPS |
|
|
Object Detection (HP)
|
100% |
17142
1.36 KIPS |
|
|
Object Detection (Q)
|
91% |
24834
1.98 KIPS |
|
|
Face Detection (SP)
|
100% |
3874
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
26104
310.2 IPS |
|
|
Face Detection (Q)
|
100% |
45362
539.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8243
63.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
81342
626.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
91392
706.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24804
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
168089
216.1 IPS |
|
|
Style Transfer (Q)
|
100% |
168460
216.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5773
213.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47261
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
86977
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
2949
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
6804
9.08 KIPS |
|
|
Text Classification (Q)
|
93% |
6211
8.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
4069
70.1 IPS |
|
|
Machine Translation (HP)
|
100% |
15725
270.9 IPS |
|
|
Machine Translation (Q)
|
98% |
16786
290.1 IPS |
