iPad16,2
Geekbench AI Score
3340
Single Precision Score
6116
Half Precision Score
4985
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 11 2024 12:58 AM |
| Views | 1 |
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 | 2.06 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1254
233.3 IPS |
|
|
Image Classification (HP)
|
100% |
2201
409.4 IPS |
|
|
Image Classification (Q)
|
96% |
1456
271.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1027
16.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1785
28.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2037
33.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4507
5.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
10245
12.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12168
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1702
135.0 IPS |
|
|
Object Detection (HP)
|
97% |
3336
265.6 IPS |
|
|
Object Detection (Q)
|
94% |
2252
179.5 IPS |
|
|
Face Detection (SP)
|
100% |
3046
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
6377
75.8 IPS |
|
|
Face Detection (Q)
|
100% |
3691
43.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6399
49.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12309
95.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8420
65.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18978
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
31912
41.0 IPS |
|
|
Style Transfer (Q)
|
96% |
25382
32.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4617
170.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6069
224.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4295
158.6 IPS |
|
|
Text Classification (SP)
|
100% |
3210
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5760
7.69 KIPS |
|
|
Text Classification (Q)
|
93% |
5701
7.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3196
55.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6232
107.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6049
104.5 IPS |
