iPad16,2
Geekbench AI Score
4032
Single Precision Score
6879
Half Precision Score
5611
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | oldnick |
| Upload Date | December 31 2024 01:04 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad16,2 |
| Model ID | iPad16,2 |
| Motherboard | J411AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.77 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1738
323.2 IPS |
|
|
Image Classification (HP)
|
100% |
2940
546.8 IPS |
|
|
Image Classification (Q)
|
96% |
2016
376.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1668
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2439
39.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3128
50.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8231
9.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
16439
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14405
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1829
145.1 IPS |
|
|
Object Detection (HP)
|
97% |
3378
268.9 IPS |
|
|
Object Detection (Q)
|
94% |
2368
188.8 IPS |
|
|
Face Detection (SP)
|
100% |
3343
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
6803
80.8 IPS |
|
|
Face Detection (Q)
|
100% |
3736
44.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6770
52.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13451
104.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9272
72.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21482
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32829
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27439
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4953
182.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5778
213.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4404
162.6 IPS |
|
|
Text Classification (SP)
|
100% |
3256
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
5563
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5543
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3324
57.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6175
106.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6201
107.2 IPS |
