ONE-NETBOOK ONEXPLAYER X1 mini
Geekbench AI Score
2889
Single Precision Score
1493
Half Precision Score
3690
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 09:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8840U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ONE-NETBOOK ONEXPLAYER X1 mini |
| Motherboard | ONE-NETBOOK ONEXPLAYER X1 mini |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8840U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1717
319.4 IPS |
|
|
Image Classification (HP)
|
100% |
541
100.5 IPS |
|
|
Image Classification (Q)
|
99% |
4342
809.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1161
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
806
13.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2363
38.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5372
6.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
4337
5.06 IPS |
|
|
Pose Estimation (Q)
|
95% |
20945
24.5 IPS |
|
|
Object Detection (SP)
|
100% |
1951
154.7 IPS |
|
|
Object Detection (HP)
|
100% |
727
57.6 IPS |
|
|
Object Detection (Q)
|
88% |
1873
150.2 IPS |
|
|
Face Detection (SP)
|
100% |
2901
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
1569
18.6 IPS |
|
|
Face Detection (Q)
|
97% |
4413
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6241
48.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2330
17.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
4589
36.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12639
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11633
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
22978
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2432
89.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2007
74.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3249
120.3 IPS |
|
|
Text Classification (SP)
|
100% |
1897
2.53 KIPS |
|
|
Text Classification (HP)
|
100% |
734
979.4 IPS |
|
|
Text Classification (Q)
|
97% |
416
557.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1838
31.7 IPS |
|
|
Machine Translation (HP)
|
100% |
640
11.0 IPS |
|
|
Machine Translation (Q)
|
60% |
1851
41.3 IPS |
