iPad16,5
Geekbench AI Score
4794
Single Precision Score
7947
Half Precision Score
6366
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 03:09 PM |
| Views | 1 |
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 | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1977
367.6 IPS |
|
|
Image Classification (HP)
|
100% |
3303
614.2 IPS |
|
|
Image Classification (Q)
|
96% |
2320
433.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2119
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3279
53.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3587
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10036
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19061
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16455
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2204
174.8 IPS |
|
|
Object Detection (HP)
|
97% |
3786
301.4 IPS |
|
|
Object Detection (Q)
|
94% |
2686
214.1 IPS |
|
|
Face Detection (SP)
|
100% |
3988
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
7731
91.9 IPS |
|
|
Face Detection (Q)
|
100% |
4438
52.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8296
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14623
113.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10162
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24958
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37810
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31261
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5826
215.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6878
254.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4996
184.5 IPS |
|
|
Text Classification (SP)
|
100% |
3524
4.70 KIPS |
|
|
Text Classification (HP)
|
100% |
6157
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
6059
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
4086
70.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7102
122.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6973
120.5 IPS |
