iPad16,1
Geekbench AI Score
3867
Single Precision Score
24534
Half Precision Score
34335
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 08 2024 08:15 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1599
297.4 IPS |
|
|
Image Classification (HP)
|
100% |
11752
2.19 KIPS |
|
|
Image Classification (Q)
|
97% |
16399
3.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1676
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15506
251.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
20657
334.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7092
8.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
90074
105.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
201290
235.9 IPS |
|
|
Object Detection (SP)
|
100% |
1607
127.5 IPS |
|
|
Object Detection (HP)
|
100% |
13865
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
20256
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3299
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
35705
424.3 IPS |
|
|
Face Detection (Q)
|
100% |
52924
628.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6925
53.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
78868
607.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
126526
989.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20765
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
201879
259.5 IPS |
|
|
Style Transfer (Q)
|
96% |
254497
328.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4887
180.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35300
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54783
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
3197
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2736
3.65 KIPS |
|
|
Text Classification (Q)
|
93% |
2360
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3310
57.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6325
109.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7484
129.3 IPS |
