HUAWEI KPL-W0X
Geekbench AI Score
566
Single Precision Score
222
Half Precision Score
715
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | guinea7pig |
| Upload Date | May 23 2025 07:51 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 2500U |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | HUAWEI KPL-W0X |
| Motherboard | HUAWEI KPL-W0X |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 2500U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 17 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 6.67 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
346
64.4 IPS |
|
|
Image Classification (HP)
|
100% |
65
12.2 IPS |
|
|
Image Classification (Q)
|
94% |
507
94.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
196
3.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
70
1.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
489
7.96 IPS |
|
|
Pose Estimation (SP)
|
100% |
1060
1.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
685
0.80 IPS |
|
|
Pose Estimation (Q)
|
86% |
1238
1.46 IPS |
|
|
Object Detection (SP)
|
100% |
337
26.7 IPS |
|
|
Object Detection (HP)
|
100% |
79
6.30 IPS |
|
|
Object Detection (Q)
|
58% |
351
38.3 IPS |
|
|
Face Detection (SP)
|
100% |
543
6.46 IPS |
|
|
Face Detection (HP)
|
100% |
108
1.29 IPS |
|
|
Face Detection (Q)
|
96% |
1431
17.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1071
8.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
347
2.68 IPS |
|
|
Depth Estimation (Q)
|
78% |
1178
9.40 IPS |
|
|
Style Transfer (SP)
|
100% |
2521
3.24 IPS |
|
|
Style Transfer (HP)
|
100% |
2020
2.60 IPS |
|
|
Style Transfer (Q)
|
87% |
1904
2.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
436
16.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
366
13.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
440
16.3 IPS |
|
|
Text Classification (SP)
|
100% |
474
632.3 IPS |
|
|
Text Classification (HP)
|
100% |
195
260.9 IPS |
|
|
Text Classification (Q)
|
97% |
400
535.5 IPS |
|
|
Machine Translation (SP)
|
100% |
460
7.92 IPS |
|
|
Machine Translation (HP)
|
100% |
219
3.77 IPS |
|
|
Machine Translation (Q)
|
68% |
579
11.2 IPS |
