GMKtec M5 PLUS
Geekbench AI Score
2051
Single Precision Score
970
Half Precision Score
3074
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 23 2025 04:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5825U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec M5 PLUS |
| Motherboard | GMKtec GMKtec |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5825U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1524
283.5 IPS |
|
|
Image Classification (HP)
|
100% |
384
71.4 IPS |
|
|
Image Classification (Q)
|
96% |
2670
498.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1111
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
553
8.97 IPS |
|
|
Image Segmentation (Q)
|
97% |
3136
51.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3276
3.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
2504
2.92 IPS |
|
|
Pose Estimation (Q)
|
86% |
4632
5.48 IPS |
|
|
Object Detection (SP)
|
100% |
1122
89.0 IPS |
|
|
Object Detection (HP)
|
100% |
397
31.5 IPS |
|
|
Object Detection (Q)
|
58% |
1551
169.5 IPS |
|
|
Face Detection (SP)
|
100% |
3007
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
1032
12.3 IPS |
|
|
Face Detection (Q)
|
96% |
4820
57.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4117
31.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1444
11.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
6295
50.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7730
9.94 IPS |
|
|
Style Transfer (HP)
|
100% |
6213
7.99 IPS |
|
|
Style Transfer (Q)
|
87% |
10831
14.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1370
50.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1173
43.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2463
91.3 IPS |
|
|
Text Classification (SP)
|
100% |
1113
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
563
752.1 IPS |
|
|
Text Classification (Q)
|
97% |
932
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1453
25.0 IPS |
|
|
Machine Translation (HP)
|
100% |
573
9.88 IPS |
|
|
Machine Translation (Q)
|
68% |
1664
32.2 IPS |
