iPad16,1
Geekbench AI Score
3924
Single Precision Score
6758
Half Precision Score
5525
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | rthiemann |
| Upload Date | December 20 2024 07:31 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1736
322.9 IPS |
|
|
Image Classification (HP)
|
100% |
2918
542.7 IPS |
|
|
Image Classification (Q)
|
96% |
2028
378.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1674
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2380
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3109
50.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7573
8.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
15296
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13364
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1753
139.0 IPS |
|
|
Object Detection (HP)
|
97% |
3352
266.8 IPS |
|
|
Object Detection (Q)
|
94% |
2324
185.2 IPS |
|
|
Face Detection (SP)
|
100% |
3292
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
6945
82.5 IPS |
|
|
Face Detection (Q)
|
100% |
3857
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6697
51.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13211
102.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9073
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20368
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
31415
40.4 IPS |
|
|
Style Transfer (Q)
|
96% |
26620
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4715
174.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5712
210.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4311
159.2 IPS |
|
|
Text Classification (SP)
|
100% |
3203
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5494
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5466
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3315
57.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6172
106.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6170
106.6 IPS |
