iPad16,6
Geekbench AI Score
4435
Single Precision Score
6337
Half Precision Score
5392
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ammonl |
| Upload Date | September 21 2024 07:27 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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 | 7.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1933
359.5 IPS |
|
|
Image Classification (HP)
|
100% |
2631
489.3 IPS |
|
|
Image Classification (Q)
|
96% |
1943
362.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1805
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1769
28.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2446
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9866
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18702
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16199
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2071
164.3 IPS |
|
|
Object Detection (HP)
|
97% |
3024
240.8 IPS |
|
|
Object Detection (Q)
|
94% |
2283
181.9 IPS |
|
|
Face Detection (SP)
|
100% |
3562
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
5737
68.2 IPS |
|
|
Face Detection (Q)
|
100% |
3712
44.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7608
58.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
11143
86.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
8416
65.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23883
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35117
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29486
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5761
212.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6732
248.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4844
178.9 IPS |
|
|
Text Classification (SP)
|
100% |
3109
4.15 KIPS |
|
|
Text Classification (HP)
|
100% |
5078
6.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5160
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3565
61.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5174
89.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5134
88.7 IPS |
