iPad16,2
Geekbench AI Score
3922
Single Precision Score
3902
Half Precision Score
4093
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | shibuya0911 |
| Upload Date | November 11 2024 03:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad16,2 |
| Model ID | iPad16,2 |
| Motherboard | J411AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.76 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1285
239.0 IPS |
|
|
Image Classification (HP)
|
100% |
816
151.7 IPS |
|
|
Image Classification (Q)
|
97% |
1015
189.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3225
52.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3518
57.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3514
57.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13136
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
13630
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12655
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1489
118.1 IPS |
|
|
Object Detection (HP)
|
100% |
1452
115.1 IPS |
|
|
Object Detection (Q)
|
91% |
1494
119.4 IPS |
|
|
Face Detection (SP)
|
100% |
4973
59.1 IPS |
|
|
Face Detection (HP)
|
100% |
5104
60.6 IPS |
|
|
Face Detection (Q)
|
100% |
5544
65.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10363
79.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
11132
85.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8877
69.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27213
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
30528
39.2 IPS |
|
|
Style Transfer (Q)
|
96% |
28882
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5223
192.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3519
129.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3608
133.2 IPS |
|
|
Text Classification (SP)
|
100% |
3181
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5515
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5464
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
457
7.88 IPS |
|
|
Machine Translation (HP)
|
100% |
428
7.38 IPS |
|
|
Machine Translation (Q)
|
98% |
700
12.1 IPS |
