iPad16,6
Geekbench AI Score
4675
Single Precision Score
36802
Half Precision Score
52128
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | redgreen |
| Upload Date | October 31 2024 10:59 PM |
| Views | 9 |
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% |
1946
362.0 IPS |
|
|
Image Classification (HP)
|
100% |
18622
3.46 KIPS |
|
|
Image Classification (Q)
|
97% |
27841
5.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2026
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21971
356.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30323
491.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10062
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123705
144.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
233196
273.3 IPS |
|
|
Object Detection (SP)
|
100% |
2247
178.2 IPS |
|
|
Object Detection (HP)
|
100% |
18937
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
25611
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
3974
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
42589
506.0 IPS |
|
|
Face Detection (Q)
|
100% |
62362
741.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8264
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
98749
760.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
167631
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25100
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
233375
300.0 IPS |
|
|
Style Transfer (Q)
|
96% |
297873
384.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5866
216.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48505
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83103
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2965
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
6156
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
6385
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3906
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16227
279.5 IPS |
|
|
Machine Translation (Q)
|
98% |
17784
307.3 IPS |
