iPad16,2
Geekbench AI Score
4020
Single Precision Score
7017
Half Precision Score
5750
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 14 2025 11:15 AM |
| 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 | 1.58 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1731
321.9 IPS |
|
|
Image Classification (HP)
|
100% |
2978
553.8 IPS |
|
|
Image Classification (Q)
|
96% |
2035
379.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1648
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2359
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3077
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7915
9.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
16401
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14122
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1802
142.9 IPS |
|
|
Object Detection (HP)
|
97% |
3337
265.7 IPS |
|
|
Object Detection (Q)
|
94% |
2383
189.9 IPS |
|
|
Face Detection (SP)
|
100% |
3276
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
6949
82.6 IPS |
|
|
Face Detection (Q)
|
100% |
3905
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6958
53.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13126
101.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9075
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21390
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34161
43.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28007
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4915
181.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5741
212.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4509
166.5 IPS |
|
|
Text Classification (SP)
|
100% |
3270
4.36 KIPS |
|
|
Text Classification (HP)
|
100% |
5757
7.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5750
7.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3460
59.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7314
126.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7292
126.0 IPS |
