iPad16,6
Geekbench AI Score
4708
Single Precision Score
37306
Half Precision Score
51940
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 12:38 AM |
| Views | 2 |
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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1996
371.1 IPS |
|
|
Image Classification (HP)
|
100% |
17421
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
25335
4.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2117
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21874
354.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30249
490.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10057
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123587
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232810
272.9 IPS |
|
|
Object Detection (SP)
|
100% |
2246
178.2 IPS |
|
|
Object Detection (HP)
|
100% |
18330
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25772
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4064
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
43659
518.8 IPS |
|
|
Face Detection (Q)
|
100% |
62461
742.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8341
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
98995
762.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
169666
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25238
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
234267
301.2 IPS |
|
|
Style Transfer (Q)
|
96% |
297715
384.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5819
214.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48895
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84983
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
2927
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
7479
9.98 KIPS |
|
|
Text Classification (Q)
|
93% |
6438
8.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3850
66.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16337
281.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18004
311.1 IPS |
