iPad16,2
Geekbench AI Score
3974
Single Precision Score
6829
Half Precision Score
5583
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Fine_HIMEMIYA |
| Upload Date | December 06 2024 06:22 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPad16,2 |
| Model ID | iPad16,2 |
| Motherboard | J411AP |
| 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% |
1738
323.3 IPS |
|
|
Image Classification (HP)
|
100% |
2907
540.6 IPS |
|
|
Image Classification (Q)
|
96% |
2006
374.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1645
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2429
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3108
50.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7798
9.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
15735
18.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13780
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1763
139.8 IPS |
|
|
Object Detection (HP)
|
97% |
3351
266.8 IPS |
|
|
Object Detection (Q)
|
94% |
2342
186.7 IPS |
|
|
Face Detection (SP)
|
100% |
3372
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
6975
82.9 IPS |
|
|
Face Detection (Q)
|
100% |
3888
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6910
53.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13444
103.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9189
71.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20905
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32096
41.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27036
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4848
179.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5829
215.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4417
163.1 IPS |
|
|
Text Classification (SP)
|
100% |
3196
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5514
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5527
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3319
57.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6131
105.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6204
107.2 IPS |
