iPad16,2
Geekbench AI Score
3983
Single Precision Score
6937
Half Precision Score
5581
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 22 2025 09:35 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| Model | iPad16,2 |
| Model ID | iPad16,2 |
| Motherboard | J411AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 1.58 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1736
322.8 IPS |
|
|
Image Classification (HP)
|
100% |
2995
557.0 IPS |
|
|
Image Classification (Q)
|
96% |
2039
380.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1744
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2588
42.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3109
50.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7746
9.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
15782
18.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13622
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1798
142.7 IPS |
|
|
Object Detection (HP)
|
97% |
3380
269.1 IPS |
|
|
Object Detection (Q)
|
94% |
2336
186.2 IPS |
|
|
Face Detection (SP)
|
100% |
3301
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
7005
83.2 IPS |
|
|
Face Detection (Q)
|
100% |
3922
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6854
52.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13582
105.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9228
72.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20634
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32011
41.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27058
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4796
177.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5711
210.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4370
161.4 IPS |
|
|
Text Classification (SP)
|
100% |
3190
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5501
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5483
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3341
57.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6527
112.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6196
107.1 IPS |
