iPad16,6
Geekbench AI Score
4684
Single Precision Score
36634
Half Precision Score
52188
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ksnyde |
| Upload Date | November 10 2024 10:45 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad16,6 |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1983
368.7 IPS |
|
|
Image Classification (HP)
|
100% |
17316
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
24969
4.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2094
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21989
356.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30169
489.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9983
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123523
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232130
272.1 IPS |
|
|
Object Detection (SP)
|
100% |
2241
177.8 IPS |
|
|
Object Detection (HP)
|
100% |
18466
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26002
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
3886
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
43075
511.8 IPS |
|
|
Face Detection (Q)
|
100% |
62937
747.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8289
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
98955
762.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
168415
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25158
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
234313
301.2 IPS |
|
|
Style Transfer (Q)
|
96% |
299675
386.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5863
216.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49430
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86533
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
2980
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
6183
8.25 KIPS |
|
|
Text Classification (Q)
|
93% |
6641
8.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3871
66.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16426
282.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18058
312.1 IPS |
