MECHREVO Yilong15Pro Series GM5HG0A
Geekbench AI Score
17181
Single Precision Score
29289
Half Precision Score
13574
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 14 2025 10:24 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | MECHREVO Yilong15Pro Series GM5HG0A |
| Motherboard | MECHREVO GM5HG0A |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845H w/ Radeon 780M Graphics |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6839
1.27 KIPS |
|
|
Image Classification (HP)
|
99% |
11445
2.13 KIPS |
|
|
Image Classification (Q)
|
99% |
6298
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12924
209.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18379
297.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
11436
186.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
90036
105.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
249321
290.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
79688
93.4 IPS |
|
|
Object Detection (SP)
|
100% |
7842
622.0 IPS |
|
|
Object Detection (HP)
|
100% |
15630
1.24 KIPS |
|
|
Object Detection (Q)
|
84% |
7039
567.7 IPS |
|
|
Face Detection (SP)
|
100% |
20725
246.3 IPS |
|
|
Face Detection (HP)
|
100% |
33403
396.9 IPS |
|
|
Face Detection (Q)
|
97% |
19037
227.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
41378
318.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
78005
601.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
33989
271.9 IPS |
|
|
Style Transfer (SP)
|
100% |
142221
182.8 IPS |
|
|
Style Transfer (HP)
|
100% |
346117
444.9 IPS |
|
|
Style Transfer (Q)
|
98% |
127690
164.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25808
953.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43160
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20808
770.5 IPS |
|
|
Text Classification (SP)
|
100% |
2736
3.65 KIPS |
|
|
Text Classification (HP)
|
99% |
3342
4.46 KIPS |
|
|
Text Classification (Q)
|
97% |
1739
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4171
71.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4358
75.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1759
33.0 IPS |
