iPad16,1
Geekbench AI Score
4156
Single Precision Score
4781
Half Precision Score
4336
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 15 2025 05:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| Model | iPad16,1 |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| 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% |
1003
186.6 IPS |
|
|
Image Classification (HP)
|
100% |
1293
240.5 IPS |
|
|
Image Classification (Q)
|
96% |
775
144.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3596
58.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3819
61.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3660
59.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12035
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
13365
15.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
12964
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1931
153.2 IPS |
|
|
Object Detection (HP)
|
100% |
1808
143.4 IPS |
|
|
Object Detection (Q)
|
92% |
1422
113.5 IPS |
|
|
Face Detection (SP)
|
100% |
6037
71.7 IPS |
|
|
Face Detection (HP)
|
100% |
5845
69.5 IPS |
|
|
Face Detection (Q)
|
100% |
5759
68.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9731
75.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
10726
82.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10141
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25396
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
28849
37.1 IPS |
|
|
Style Transfer (Q)
|
96% |
28710
37.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3738
138.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4400
162.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3688
136.2 IPS |
|
|
Text Classification (SP)
|
100% |
2942
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5132
6.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5097
6.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1119
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1283
22.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1426
24.7 IPS |
