iPad16,2
Geekbench AI Score
4033
Single Precision Score
7030
Half Precision Score
5759
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | medeirosdez |
| Upload Date | July 06 2025 09:12 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad16,2 |
| Model ID | iPad16,2 |
| Motherboard | J411AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1723
320.4 IPS |
|
|
Image Classification (HP)
|
100% |
2919
542.8 IPS |
|
|
Image Classification (Q)
|
96% |
2035
380.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1638
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2346
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3059
49.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8064
9.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
16459
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14197
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1794
142.3 IPS |
|
|
Object Detection (HP)
|
97% |
3348
266.5 IPS |
|
|
Object Detection (Q)
|
94% |
2384
190.0 IPS |
|
|
Face Detection (SP)
|
100% |
3286
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
6937
82.4 IPS |
|
|
Face Detection (Q)
|
100% |
3896
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6942
53.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13043
100.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9092
71.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21487
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34154
43.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28330
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4958
183.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5777
213.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4502
166.2 IPS |
|
|
Text Classification (SP)
|
100% |
3267
4.36 KIPS |
|
|
Text Classification (HP)
|
100% |
5860
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5812
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3515
60.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7469
129.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7256
125.4 IPS |
