iPad16,5
Geekbench AI Score
8881
Single Precision Score
10557
Half Precision Score
9249
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Psycleracer |
| Upload Date | November 02 2024 03:46 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4459
829.3 IPS |
|
|
Image Classification (HP)
|
100% |
4769
886.8 IPS |
|
|
Image Classification (Q)
|
97% |
3833
715.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4828
78.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6661
108.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7144
115.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
28115
32.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
30020
35.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
28600
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
4765
377.9 IPS |
|
|
Object Detection (HP)
|
100% |
5167
409.8 IPS |
|
|
Object Detection (Q)
|
91% |
4419
353.1 IPS |
|
|
Face Detection (SP)
|
100% |
12927
153.6 IPS |
|
|
Face Detection (HP)
|
100% |
16420
195.1 IPS |
|
|
Face Detection (Q)
|
100% |
12002
142.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20332
156.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
22259
171.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
18992
148.5 IPS |
|
|
Style Transfer (SP)
|
100% |
58482
75.2 IPS |
|
|
Style Transfer (HP)
|
100% |
67724
87.1 IPS |
|
|
Style Transfer (Q)
|
96% |
63665
82.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11575
427.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12572
464.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10281
379.6 IPS |
|
|
Text Classification (SP)
|
100% |
3012
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5370
7.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5394
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1975
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2089
36.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1645
28.4 IPS |
