GMKtec NucBox_EVO-X2
Geekbench AI Score
24858
Single Precision Score
35366
Half Precision Score
20790
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | BennyDaBall |
| Upload Date | November 22 2025 02:55 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 8060S Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox_EVO-X2 |
| Motherboard | GMKtec GMKtec |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI Max+ 395 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 112 Stepping 0 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12846
2.39 KIPS |
|
|
Image Classification (HP)
|
100% |
13494
2.51 KIPS |
|
|
Image Classification (Q)
|
100% |
11839
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14401
233.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
17231
279.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
19237
312.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
131548
153.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
300392
350.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
113069
132.4 IPS |
|
|
Object Detection (SP)
|
100% |
7208
571.7 IPS |
|
|
Object Detection (HP)
|
100% |
13600
1.08 KIPS |
|
|
Object Detection (Q)
|
87% |
7074
568.2 IPS |
|
|
Face Detection (SP)
|
100% |
30317
360.2 IPS |
|
|
Face Detection (HP)
|
100% |
47896
569.1 IPS |
|
|
Face Detection (Q)
|
97% |
24617
293.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
55082
424.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
75027
578.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
45195
362.4 IPS |
|
|
Style Transfer (SP)
|
100% |
238029
306.0 IPS |
|
|
Style Transfer (HP)
|
100% |
430254
553.1 IPS |
|
|
Style Transfer (Q)
|
98% |
203472
262.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43101
1.59 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58210
2.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34616
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
4224
5.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4374
5.84 KIPS |
|
|
Text Classification (Q)
|
97% |
3121
4.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
7098
122.3 IPS |
|
|
Machine Translation (HP)
|
100% |
8188
141.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3387
63.5 IPS |
