WOOKING X14 Pro+
Geekbench AI Score
4419
Single Precision Score
1953
Half Precision Score
8547
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 26 2025 01:12 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | WOOKING X14 Pro+ |
| Motherboard | WOOKING W043_78A_MB |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3724
692.6 IPS |
|
|
Image Classification (HP)
|
100% |
727
135.2 IPS |
|
|
Image Classification (Q)
|
99% |
8409
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1740
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
947
15.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
10172
165.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7299
8.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
6039
7.05 IPS |
|
|
Pose Estimation (Q)
|
94% |
25982
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3405
270.0 IPS |
|
|
Object Detection (HP)
|
100% |
922
73.1 IPS |
|
|
Object Detection (Q)
|
86% |
8216
660.3 IPS |
|
|
Face Detection (SP)
|
100% |
6699
79.6 IPS |
|
|
Face Detection (HP)
|
100% |
1947
23.1 IPS |
|
|
Face Detection (Q)
|
97% |
11342
135.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9741
75.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2928
22.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
7717
61.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17873
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
14869
19.1 IPS |
|
|
Style Transfer (Q)
|
98% |
29170
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2859
105.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2678
98.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6731
249.2 IPS |
|
|
Text Classification (SP)
|
100% |
2223
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
939
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
1829
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2380
41.0 IPS |
|
|
Machine Translation (HP)
|
100% |
991
17.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3627
72.9 IPS |
