iPad16,5
Geekbench AI Score
4692
Single Precision Score
31731
Half Precision Score
40184
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Deferare |
| Upload Date | August 18 2024 12:22 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.47 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1965
365.4 IPS |
|
|
Image Classification (HP)
|
100% |
17148
3.19 KIPS |
|
|
Image Classification (Q)
|
99% |
18819
3.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2132
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13997
226.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
14128
229.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10068
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
118321
138.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
226078
265.2 IPS |
|
|
Object Detection (SP)
|
100% |
2218
175.9 IPS |
|
|
Object Detection (HP)
|
100% |
16888
1.34 KIPS |
|
|
Object Detection (Q)
|
91% |
26076
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
3935
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
27661
328.7 IPS |
|
|
Face Detection (Q)
|
100% |
45624
542.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8302
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
83168
640.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
92454
714.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25023
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
168731
216.9 IPS |
|
|
Style Transfer (Q)
|
100% |
168669
216.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5859
216.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49959
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
84871
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
2964
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
6795
9.07 KIPS |
|
|
Text Classification (Q)
|
93% |
6468
8.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3896
67.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16378
282.1 IPS |
|
|
Machine Translation (Q)
|
98% |
17934
309.9 IPS |
