iPad16,2
Geekbench AI Score
4070
Single Precision Score
7125
Half Precision Score
5786
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 12:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1714
318.7 IPS |
|
|
Image Classification (HP)
|
100% |
2957
549.9 IPS |
|
|
Image Classification (Q)
|
96% |
2025
378.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1647
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2533
41.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3072
49.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8197
9.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
16825
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14589
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
1824
144.7 IPS |
|
|
Object Detection (HP)
|
97% |
3360
267.5 IPS |
|
|
Object Detection (Q)
|
94% |
2397
191.1 IPS |
|
|
Face Detection (SP)
|
100% |
3344
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
7029
83.5 IPS |
|
|
Face Detection (Q)
|
100% |
3930
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7088
54.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13060
101.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9174
71.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21857
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
34901
44.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28564
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4996
184.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5754
212.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4473
165.2 IPS |
|
|
Text Classification (SP)
|
100% |
3286
4.39 KIPS |
|
|
Text Classification (HP)
|
100% |
5905
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5793
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3480
59.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7318
126.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7253
125.3 IPS |
