iPad16,1
Geekbench AI Score
3593
Single Precision Score
4025
Half Precision Score
3834
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | cellphonehater |
| Upload Date | April 25 2025 10:33 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
855
159.1 IPS |
|
|
Image Classification (HP)
|
100% |
916
170.4 IPS |
|
|
Image Classification (Q)
|
96% |
924
172.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3493
56.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3712
60.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3612
58.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9960
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
10515
12.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
10271
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
1615
128.1 IPS |
|
|
Object Detection (HP)
|
100% |
1348
106.9 IPS |
|
|
Object Detection (Q)
|
92% |
1723
137.5 IPS |
|
|
Face Detection (SP)
|
100% |
5816
69.1 IPS |
|
|
Face Detection (HP)
|
100% |
6936
82.4 IPS |
|
|
Face Detection (Q)
|
100% |
4635
55.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9084
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
10241
78.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9757
76.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25710
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28671
36.9 IPS |
|
|
Style Transfer (Q)
|
96% |
25110
32.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3265
120.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3624
133.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3056
112.9 IPS |
|
|
Text Classification (SP)
|
100% |
1404
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
2494
3.33 KIPS |
|
|
Text Classification (Q)
|
93% |
2480
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1201
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1261
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1353
23.4 IPS |
