WOOKING X14 P***
Geekbench AI Score
2392
Single Precision Score
2395
Half Precision Score
1740
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | geekbench_real |
| Upload Date | April 09 2025 02:48 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | WOOKING X14 P*** |
| Motherboard | WOOKING X14 P*** |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 5.14 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 14.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1875
348.7 IPS |
|
|
Image Classification (HP)
|
100% |
1877
349.0 IPS |
|
|
Image Classification (Q)
|
99% |
1398
260.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2606
42.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2629
42.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1221
19.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2701
3.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
2675
3.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
3557
4.17 IPS |
|
|
Object Detection (SP)
|
100% |
1945
154.3 IPS |
|
|
Object Detection (HP)
|
100% |
1979
157.0 IPS |
|
|
Object Detection (Q)
|
85% |
1187
95.5 IPS |
|
|
Face Detection (SP)
|
100% |
2680
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
2678
31.8 IPS |
|
|
Face Detection (Q)
|
97% |
2604
31.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2751
21.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2737
21.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2143
20.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3029
3.89 IPS |
|
|
Style Transfer (HP)
|
100% |
3060
3.93 IPS |
|
|
Style Transfer (Q)
|
98% |
6035
7.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1784
65.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1753
64.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1672
62.0 IPS |
|
|
Text Classification (SP)
|
100% |
2070
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2076
2.77 KIPS |
|
|
Text Classification (Q)
|
92% |
890
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2903
50.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2917
50.3 IPS |
|
|
Machine Translation (Q)
|
58% |
705
16.6 IPS |
