MECHREVO WUJIE14XA
Geekbench AI Score
2753
Single Precision Score
1322
Half Precision Score
5881
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 07:41 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | MECHREVO WUJIE14XA |
| Motherboard | MECHREVO WUJIE14-GX4HRXL |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2628
488.7 IPS |
|
|
Image Classification (HP)
|
100% |
485
90.2 IPS |
|
|
Image Classification (Q)
|
99% |
5967
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
721
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
643
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2870
46.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4538
5.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
4034
4.71 IPS |
|
|
Pose Estimation (Q)
|
94% |
19470
22.8 IPS |
|
|
Object Detection (SP)
|
100% |
2104
166.9 IPS |
|
|
Object Detection (HP)
|
100% |
647
51.4 IPS |
|
|
Object Detection (Q)
|
86% |
7069
568.1 IPS |
|
|
Face Detection (SP)
|
100% |
4846
57.6 IPS |
|
|
Face Detection (HP)
|
100% |
1514
18.0 IPS |
|
|
Face Detection (Q)
|
97% |
10204
121.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6177
47.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1945
15.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
6514
52.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10431
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10312
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
23236
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1750
64.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1636
60.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2970
110.0 IPS |
|
|
Text Classification (SP)
|
100% |
1334
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
624
832.5 IPS |
|
|
Text Classification (Q)
|
97% |
1575
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1902
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
647
11.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2908
58.4 IPS |
