iPad16,6
Geekbench AI Score
4706
Single Precision Score
36301
Half Precision Score
51362
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Swissnightlover |
| Upload Date | October 30 2024 08:14 PM |
| Views | 10 |
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, 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% |
1983
368.8 IPS |
|
|
Image Classification (HP)
|
100% |
17488
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
24842
4.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22049
357.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30330
491.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10052
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123678
144.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
233058
273.2 IPS |
|
|
Object Detection (SP)
|
100% |
2252
178.6 IPS |
|
|
Object Detection (HP)
|
100% |
18116
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25290
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
3984
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
43002
511.0 IPS |
|
|
Face Detection (Q)
|
100% |
62640
744.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8281
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
98816
761.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
168786
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25052
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
233639
300.3 IPS |
|
|
Style Transfer (Q)
|
96% |
298232
384.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5849
216.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48626
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85478
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
2951
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5857
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5973
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3904
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16270
280.3 IPS |
|
|
Machine Translation (Q)
|
98% |
17872
308.8 IPS |
