WOOKING X15
Geekbench AI Score
2678
Single Precision Score
720
Half Precision Score
4509
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | geekbench_real |
| Upload Date | April 09 2025 01:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 6900HX |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | WOOKING X15 |
| Motherboard | WOOKING W042_67A_MB |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 6900HX |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 4.94 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2312
429.9 IPS |
|
|
Image Classification (HP)
|
100% |
144
26.9 IPS |
|
|
Image Classification (Q)
|
94% |
4686
875.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1340
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
176
2.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
2242
36.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3444
4.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
4456
5.20 IPS |
|
|
Pose Estimation (Q)
|
86% |
11058
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1551
123.0 IPS |
|
|
Object Detection (HP)
|
100% |
277
22.0 IPS |
|
|
Object Detection (Q)
|
58% |
3206
350.3 IPS |
|
|
Face Detection (SP)
|
100% |
2935
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
403
4.79 IPS |
|
|
Face Detection (Q)
|
96% |
9971
118.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4578
35.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
831
6.40 IPS |
|
|
Depth Estimation (Q)
|
78% |
9081
72.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10439
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12188
15.7 IPS |
|
|
Style Transfer (Q)
|
87% |
13348
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1673
61.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1404
51.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2385
88.4 IPS |
|
|
Text Classification (SP)
|
100% |
2482
3.31 KIPS |
|
|
Text Classification (HP)
|
100% |
491
655.8 IPS |
|
|
Text Classification (Q)
|
97% |
1309
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1970
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
428
7.38 IPS |
|
|
Machine Translation (Q)
|
68% |
2475
47.8 IPS |
