iPad16,6
Geekbench AI Score
4689
Single Precision Score
36946
Half Precision Score
52031
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | MiataRacer28 |
| Upload Date | November 03 2024 02:27 AM |
| Views | 10 |
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% |
1957
364.0 IPS |
|
|
Image Classification (HP)
|
100% |
18683
3.47 KIPS |
|
|
Image Classification (Q)
|
97% |
26069
4.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22117
358.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30449
493.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9959
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123542
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
233480
273.7 IPS |
|
|
Object Detection (SP)
|
100% |
2217
175.9 IPS |
|
|
Object Detection (HP)
|
100% |
18881
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
26531
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
3993
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
43608
518.2 IPS |
|
|
Face Detection (Q)
|
100% |
64423
765.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8281
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
98851
761.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
167013
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25095
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
235662
302.9 IPS |
|
|
Style Transfer (Q)
|
96% |
298236
384.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5891
217.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48676
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84610
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2964
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
6049
8.07 KIPS |
|
|
Text Classification (Q)
|
93% |
6061
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3868
66.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16441
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
17974
310.6 IPS |
