iPad16,5
Geekbench AI Score
3312
Single Precision Score
18743
Half Precision Score
22135
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | stevetsuida |
| Upload Date | September 02 2024 12:58 AM |
| Views | 17 |
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, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1633
303.6 IPS |
|
|
Image Classification (HP)
|
100% |
8832
1.64 KIPS |
|
|
Image Classification (Q)
|
99% |
9550
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
958
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6843
110.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
6855
111.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9775
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
107446
125.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
182408
214.0 IPS |
|
|
Object Detection (SP)
|
100% |
1854
147.0 IPS |
|
|
Object Detection (HP)
|
100% |
11513
913.3 IPS |
|
|
Object Detection (Q)
|
93% |
14372
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
2978
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
14994
178.2 IPS |
|
|
Face Detection (Q)
|
100% |
18646
221.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5753
44.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
62523
481.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
69972
541.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14908
19.2 IPS |
|
|
Style Transfer (HP)
|
100% |
162446
208.8 IPS |
|
|
Style Transfer (Q)
|
100% |
159682
205.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4883
180.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24734
913.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
37940
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
2003
2.67 KIPS |
|
|
Text Classification (HP)
|
71% |
6204
8.92 KIPS |
|
|
Text Classification (Q)
|
69% |
6888
10.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
2246
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3064
52.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3023
52.2 IPS |
