iPad16,5
Geekbench AI Score
3272
Single Precision Score
18744
Half Precision Score
24594
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Helwar |
| Upload Date | September 28 2024 05:36 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.39 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1636
304.2 IPS |
|
|
Image Classification (HP)
|
100% |
8784
1.63 KIPS |
|
|
Image Classification (Q)
|
97% |
10621
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
958
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6842
110.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
13964
226.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9726
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
107004
124.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
187496
219.8 IPS |
|
|
Object Detection (SP)
|
100% |
1841
146.0 IPS |
|
|
Object Detection (HP)
|
100% |
11291
895.6 IPS |
|
|
Object Detection (Q)
|
93% |
14119
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
2984
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
16098
191.3 IPS |
|
|
Face Detection (Q)
|
100% |
19477
231.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5712
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
62114
478.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
89536
700.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14996
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
158603
203.9 IPS |
|
|
Style Transfer (Q)
|
96% |
172914
223.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4890
180.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23039
850.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34026
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
1808
2.41 KIPS |
|
|
Text Classification (HP)
|
71% |
6745
9.70 KIPS |
|
|
Text Classification (Q)
|
69% |
6620
9.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2223
38.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2993
51.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3036
52.5 IPS |
