iPad16,1
Geekbench AI Score
4178
Single Precision Score
4843
Half Precision Score
4460
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ___ |
| Upload Date | March 18 2025 03:10 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
957
177.9 IPS |
|
|
Image Classification (HP)
|
100% |
1463
272.0 IPS |
|
|
Image Classification (Q)
|
96% |
821
153.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3487
56.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3697
59.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3668
59.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11951
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
12617
14.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
12322
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1851
146.8 IPS |
|
|
Object Detection (HP)
|
100% |
1728
137.0 IPS |
|
|
Object Detection (Q)
|
92% |
1562
124.7 IPS |
|
|
Face Detection (SP)
|
100% |
5988
71.1 IPS |
|
|
Face Detection (HP)
|
100% |
7039
83.6 IPS |
|
|
Face Detection (Q)
|
100% |
5511
65.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10071
77.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
10724
82.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
10047
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25271
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29402
37.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28647
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3978
146.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3816
140.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4717
174.2 IPS |
|
|
Text Classification (SP)
|
100% |
3281
4.38 KIPS |
|
|
Text Classification (HP)
|
100% |
5664
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5632
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1104
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1255
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1277
22.1 IPS |
