iPad16,3
Geekbench AI Score
4707
Single Precision Score
31125
Half Precision Score
39893
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | DFW |
| Upload Date | September 02 2024 06:17 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.15 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2020
375.7 IPS |
|
|
Image Classification (HP)
|
100% |
16826
3.13 KIPS |
|
|
Image Classification (Q)
|
99% |
19170
3.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13991
226.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
14030
227.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10059
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
118852
138.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
225044
264.0 IPS |
|
|
Object Detection (SP)
|
100% |
2222
176.3 IPS |
|
|
Object Detection (HP)
|
100% |
16892
1.34 KIPS |
|
|
Object Detection (Q)
|
91% |
26078
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
3997
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
26297
312.5 IPS |
|
|
Face Detection (Q)
|
100% |
45529
541.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8292
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
82260
633.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
91361
706.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25135
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
168483
216.6 IPS |
|
|
Style Transfer (Q)
|
100% |
168223
216.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5849
216.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49820
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
82478
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2941
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6061
8.09 KIPS |
|
|
Text Classification (Q)
|
93% |
6173
8.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3889
67.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16406
282.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18158
313.8 IPS |
