iPad16,6
Geekbench AI Score
8957
Single Precision Score
10664
Half Precision Score
9351
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Swissnightlover |
| Upload Date | October 30 2024 08:12 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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, 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% |
4488
834.7 IPS |
|
|
Image Classification (HP)
|
100% |
4824
897.0 IPS |
|
|
Image Classification (Q)
|
97% |
4138
772.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4955
80.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6757
109.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7220
117.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
28248
33.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
30094
35.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
28658
33.6 IPS |
|
|
Object Detection (SP)
|
100% |
4788
379.8 IPS |
|
|
Object Detection (HP)
|
100% |
5209
413.2 IPS |
|
|
Object Detection (Q)
|
91% |
4448
355.4 IPS |
|
|
Face Detection (SP)
|
100% |
13005
154.5 IPS |
|
|
Face Detection (HP)
|
100% |
16508
196.2 IPS |
|
|
Face Detection (Q)
|
100% |
12011
142.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20561
158.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22548
173.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
19079
149.1 IPS |
|
|
Style Transfer (SP)
|
100% |
58404
75.1 IPS |
|
|
Style Transfer (HP)
|
100% |
67944
87.3 IPS |
|
|
Style Transfer (Q)
|
96% |
64352
83.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11790
435.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12687
468.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10292
380.0 IPS |
|
|
Text Classification (SP)
|
100% |
3030
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5554
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5336
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1982
34.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2089
36.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1658
28.6 IPS |
