WOOKING X15
Geekbench AI Score
2329
Single Precision Score
2317
Half Precision Score
1373
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | geekbench_real |
| Upload Date | April 09 2025 01:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
1951
362.9 IPS |
|
|
Image Classification (HP)
|
100% |
1958
364.2 IPS |
|
|
Image Classification (Q)
|
99% |
1061
197.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2215
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2219
36.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
979
15.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2432
2.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
2412
2.81 IPS |
|
|
Pose Estimation (Q)
|
96% |
2435
2.85 IPS |
|
|
Object Detection (SP)
|
100% |
1940
153.9 IPS |
|
|
Object Detection (HP)
|
100% |
1949
154.6 IPS |
|
|
Object Detection (Q)
|
85% |
888
71.4 IPS |
|
|
Face Detection (SP)
|
100% |
2642
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
2578
30.6 IPS |
|
|
Face Detection (Q)
|
97% |
2269
27.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2479
19.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2483
19.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
1744
16.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2760
3.55 IPS |
|
|
Style Transfer (HP)
|
100% |
2789
3.59 IPS |
|
|
Style Transfer (Q)
|
98% |
4596
5.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2030
75.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2035
75.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1384
51.3 IPS |
|
|
Text Classification (SP)
|
100% |
2386
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
2340
3.12 KIPS |
|
|
Text Classification (Q)
|
92% |
754
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2639
45.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2573
44.3 IPS |
|
|
Machine Translation (Q)
|
58% |
560
13.2 IPS |
