iPad16,5
Geekbench AI Score
4697
Single Precision Score
7810
Half Precision Score
6804
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Deferare |
| Upload Date | August 18 2024 12:31 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1940
360.8 IPS |
|
|
Image Classification (HP)
|
100% |
3370
626.7 IPS |
|
|
Image Classification (Q)
|
99% |
3368
628.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2137
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3242
52.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
3307
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10046
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19100
22.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
16341
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2209
175.2 IPS |
|
|
Object Detection (HP)
|
97% |
3827
304.7 IPS |
|
|
Object Detection (Q)
|
94% |
2699
215.1 IPS |
|
|
Face Detection (SP)
|
100% |
3976
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
7686
91.3 IPS |
|
|
Face Detection (Q)
|
100% |
4427
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8300
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14646
113.2 IPS |
|
|
Depth Estimation (Q)
|
96% |
14697
113.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25033
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37873
48.7 IPS |
|
|
Style Transfer (Q)
|
100% |
37835
48.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5883
217.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6884
254.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4800
177.8 IPS |
|
|
Text Classification (SP)
|
100% |
2995
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5197
6.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5358
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3906
67.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6933
119.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6844
118.3 IPS |
