iPad16,2
Geekbench AI Score
4316
Single Precision Score
4887
Half Precision Score
4643
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 15 2025 09:02 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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 | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1349
250.9 IPS |
|
|
Image Classification (HP)
|
100% |
1425
265.0 IPS |
|
|
Image Classification (Q)
|
96% |
1182
220.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3472
56.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3760
61.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3725
60.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12321
14.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
12755
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12523
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1701
134.9 IPS |
|
|
Object Detection (HP)
|
100% |
1690
134.1 IPS |
|
|
Object Detection (Q)
|
92% |
1404
112.1 IPS |
|
|
Face Detection (SP)
|
100% |
5411
64.3 IPS |
|
|
Face Detection (HP)
|
100% |
7620
90.5 IPS |
|
|
Face Detection (Q)
|
100% |
6249
74.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10304
79.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
10901
84.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9971
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26847
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
28391
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27920
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4154
153.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3906
144.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4826
178.2 IPS |
|
|
Text Classification (SP)
|
100% |
3234
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
5635
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5609
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1137
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1298
22.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1278
22.1 IPS |
