iPad16,3
Geekbench AI Score
4618
Single Precision Score
7396
Half Precision Score
6137
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 06:18 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1997
371.3 IPS |
|
|
Image Classification (HP)
|
100% |
3368
626.3 IPS |
|
|
Image Classification (Q)
|
96% |
2319
433.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2083
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3233
52.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3529
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9725
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19069
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16455
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
1948
154.5 IPS |
|
|
Object Detection (HP)
|
97% |
3327
264.9 IPS |
|
|
Object Detection (Q)
|
94% |
2404
191.7 IPS |
|
|
Face Detection (SP)
|
100% |
3935
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
5690
67.6 IPS |
|
|
Face Detection (Q)
|
100% |
4209
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8276
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13045
100.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10142
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25001
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37872
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31265
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5832
215.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6904
254.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4861
179.5 IPS |
|
|
Text Classification (SP)
|
100% |
3008
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5327
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5254
7.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3921
67.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6861
118.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6873
118.8 IPS |
