HUAWEI KPL-W0X
Geekbench AI Score
597
Single Precision Score
365
Half Precision Score
678
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 23 2026 07:08 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 2500U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | HUAWEI KPL-W0X |
| Motherboard | HUAWEI KPL-W0X-PCB |
| 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 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
377
70.2 IPS |
|
|
Image Classification (HP)
|
100% |
160
29.8 IPS |
|
|
Image Classification (Q)
|
96% |
517
96.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
290
4.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
243
3.94 IPS |
|
|
Image Segmentation (Q)
|
97% |
549
8.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
822
0.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
686
0.80 IPS |
|
|
Pose Estimation (Q)
|
86% |
1009
1.19 IPS |
|
|
Object Detection (SP)
|
100% |
374
29.7 IPS |
|
|
Object Detection (HP)
|
100% |
194
15.4 IPS |
|
|
Object Detection (Q)
|
58% |
365
39.9 IPS |
|
|
Face Detection (SP)
|
100% |
1043
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
448
5.33 IPS |
|
|
Face Detection (Q)
|
96% |
1309
15.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1050
8.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
527
4.06 IPS |
|
|
Depth Estimation (Q)
|
78% |
1227
9.79 IPS |
|
|
Style Transfer (SP)
|
100% |
2060
2.65 IPS |
|
|
Style Transfer (HP)
|
100% |
1765
2.27 IPS |
|
|
Style Transfer (Q)
|
87% |
2321
3.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
409
15.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
277
10.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
487
18.0 IPS |
|
|
Text Classification (SP)
|
100% |
357
476.2 IPS |
|
|
Text Classification (HP)
|
100% |
264
352.5 IPS |
|
|
Text Classification (Q)
|
97% |
184
245.9 IPS |
|
|
Machine Translation (SP)
|
100% |
521
8.97 IPS |
|
|
Machine Translation (HP)
|
100% |
269
4.64 IPS |
|
|
Machine Translation (Q)
|
68% |
591
11.4 IPS |
