iPad16,5
Geekbench AI Score
4710
Single Precision Score
31027
Half Precision Score
39977
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | lautajo |
| Upload Date | August 16 2024 09:00 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1990
370.0 IPS |
|
|
Image Classification (HP)
|
100% |
16725
3.11 KIPS |
|
|
Image Classification (Q)
|
99% |
19491
3.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2119
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14043
227.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
14048
227.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10057
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
118083
137.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
224916
263.8 IPS |
|
|
Object Detection (SP)
|
100% |
2220
176.1 IPS |
|
|
Object Detection (HP)
|
100% |
16974
1.35 KIPS |
|
|
Object Detection (Q)
|
91% |
25789
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
3964
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
26389
313.6 IPS |
|
|
Face Detection (Q)
|
100% |
45472
540.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8303
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
82617
636.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
91756
709.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25091
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
168657
216.8 IPS |
|
|
Style Transfer (Q)
|
100% |
168755
216.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5853
216.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48782
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
85890
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3026
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5956
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
6020
8.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3904
67.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16442
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18035
311.7 IPS |
