iPad16,5
Geekbench AI Score
3330
Single Precision Score
18866
Half Precision Score
22117
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 07:37 PM |
| Views | 13 |
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 | 4.36 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1651
307.0 IPS |
|
|
Image Classification (HP)
|
100% |
8872
1.65 KIPS |
|
|
Image Classification (Q)
|
99% |
9542
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
961
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6839
110.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
6877
111.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9753
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
107073
124.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
187213
219.6 IPS |
|
|
Object Detection (SP)
|
100% |
1849
146.7 IPS |
|
|
Object Detection (HP)
|
100% |
11289
895.5 IPS |
|
|
Object Detection (Q)
|
93% |
14037
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
3085
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
16107
191.4 IPS |
|
|
Face Detection (Q)
|
100% |
19552
232.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5755
44.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
63901
492.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
70398
544.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14949
19.2 IPS |
|
|
Style Transfer (HP)
|
100% |
161665
207.8 IPS |
|
|
Style Transfer (Q)
|
100% |
162237
208.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4879
180.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24057
888.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
38289
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
2006
2.68 KIPS |
|
|
Text Classification (HP)
|
71% |
6277
9.03 KIPS |
|
|
Text Classification (Q)
|
69% |
6260
9.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2257
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3100
53.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3035
52.4 IPS |
