iPad16,1
Geekbench AI Score
4089
Single Precision Score
6918
Half Precision Score
5657
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | foolsmac |
| Upload Date | November 05 2024 06:31 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1754
326.2 IPS |
|
|
Image Classification (HP)
|
100% |
2901
539.5 IPS |
|
|
Image Classification (Q)
|
96% |
2015
376.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1761
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2410
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3116
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8204
9.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
16490
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14287
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1838
145.8 IPS |
|
|
Object Detection (HP)
|
97% |
3382
269.3 IPS |
|
|
Object Detection (Q)
|
94% |
2368
188.7 IPS |
|
|
Face Detection (SP)
|
100% |
3414
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
7054
83.8 IPS |
|
|
Face Detection (Q)
|
100% |
3990
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7153
55.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13779
106.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9499
74.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21518
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32759
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27626
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4964
183.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5875
216.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4406
162.7 IPS |
|
|
Text Classification (SP)
|
100% |
3244
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5545
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5510
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3319
57.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6217
107.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6226
107.6 IPS |
