iPad16,6
Geekbench AI Score
4709
Single Precision Score
7870
Half Precision Score
6262
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | redgreen |
| Upload Date | October 31 2024 10:55 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad16,6 |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1996
371.3 IPS |
|
|
Image Classification (HP)
|
100% |
3355
623.9 IPS |
|
|
Image Classification (Q)
|
96% |
2331
435.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2108
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3353
54.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3625
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10024
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19064
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16460
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2246
178.2 IPS |
|
|
Object Detection (HP)
|
97% |
3789
301.6 IPS |
|
|
Object Detection (Q)
|
94% |
2687
214.1 IPS |
|
|
Face Detection (SP)
|
100% |
3970
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
7681
91.3 IPS |
|
|
Face Detection (Q)
|
100% |
4445
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8278
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14632
113.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10163
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25214
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38311
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31559
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5858
216.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6921
255.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4866
179.7 IPS |
|
|
Text Classification (SP)
|
100% |
2999
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5344
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5236
7.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3889
67.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7049
121.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6832
118.1 IPS |
