CHUWI CoreBox Pro
Geekbench AI Score
15609
Single Precision Score
17087
Half Precision Score
13331
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | edsinsi |
| Upload Date | December 12 2024 06:51 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7800 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | CHUWI CoreBox Pro |
| Motherboard | IP3 Tech IB2 |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1005G1 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6006
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
5943
1.11 KIPS |
|
|
Image Classification (Q)
|
99% |
5638
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7246
117.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6742
109.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
6681
108.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
150638
175.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
203408
237.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
134821
157.9 IPS |
|
|
Object Detection (SP)
|
100% |
6299
499.7 IPS |
|
|
Object Detection (HP)
|
99% |
6732
534.0 IPS |
|
|
Object Detection (Q)
|
87% |
5891
473.1 IPS |
|
|
Face Detection (SP)
|
100% |
17767
211.1 IPS |
|
|
Face Detection (HP)
|
100% |
18523
220.1 IPS |
|
|
Face Detection (Q)
|
97% |
16409
195.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
50205
386.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
55254
425.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
41172
329.9 IPS |
|
|
Style Transfer (SP)
|
100% |
237413
305.2 IPS |
|
|
Style Transfer (HP)
|
100% |
300522
386.3 IPS |
|
|
Style Transfer (Q)
|
98% |
211345
272.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26595
982.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33310
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22295
825.6 IPS |
|
|
Text Classification (SP)
|
100% |
2007
2.68 KIPS |
|
|
Text Classification (HP)
|
100% |
2029
2.71 KIPS |
|
|
Text Classification (Q)
|
97% |
1398
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1840
31.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1861
32.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1332
25.0 IPS |
