iPad16,5
Geekbench AI Score
3293
Single Precision Score
18889
Half Precision Score
22121
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | DragonLand |
| Upload Date | August 15 2024 05:57 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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 | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1591
295.9 IPS |
|
|
Image Classification (HP)
|
100% |
9287
1.73 KIPS |
|
|
Image Classification (Q)
|
99% |
9969
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
926
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6849
111.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
6853
111.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9624
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
107657
125.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
180666
211.9 IPS |
|
|
Object Detection (SP)
|
100% |
1845
146.3 IPS |
|
|
Object Detection (HP)
|
100% |
12050
955.8 IPS |
|
|
Object Detection (Q)
|
93% |
14582
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3013
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
16013
190.3 IPS |
|
|
Face Detection (Q)
|
100% |
19509
231.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5761
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
63923
492.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
68233
527.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14984
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
159452
205.0 IPS |
|
|
Style Transfer (Q)
|
100% |
161883
208.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4873
179.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23213
857.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
37805
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
2023
2.70 KIPS |
|
|
Text Classification (HP)
|
71% |
6266
9.01 KIPS |
|
|
Text Classification (Q)
|
69% |
6167
9.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2241
38.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2953
50.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3103
53.6 IPS |
