iPad16,1
Geekbench AI Score
3413
Single Precision Score
6246
Half Precision Score
5247
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 19 2025 11:41 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.77 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1715
318.9 IPS |
|
|
Image Classification (HP)
|
100% |
2980
554.2 IPS |
|
|
Image Classification (Q)
|
96% |
2019
377.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1611
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2352
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3031
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6756
7.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
12859
15.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
8773
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
572
45.4 IPS |
|
|
Object Detection (HP)
|
97% |
1600
127.4 IPS |
|
|
Object Detection (Q)
|
94% |
1979
157.8 IPS |
|
|
Face Detection (SP)
|
100% |
3105
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
6632
78.8 IPS |
|
|
Face Detection (Q)
|
100% |
3669
43.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6502
50.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12611
97.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8695
68.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19595
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32518
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26212
33.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4596
169.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5713
211.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4402
162.5 IPS |
|
|
Text Classification (SP)
|
100% |
3228
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
5612
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5580
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3425
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7196
124.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7250
125.3 IPS |
