GMKtec NucBox EVO-X2 GMKtec NucBox_EVO-X2
Geekbench AI Score
26251
Single Precision Score
35987
Half Precision Score
20591
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | minerale |
| Upload Date | October 21 2025 10:19 PM |
| Views | 14 |
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 | Bilanciato |
| 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% |
13170
2.45 KIPS |
|
|
Image Classification (HP)
|
100% |
14049
2.61 KIPS |
|
|
Image Classification (Q)
|
100% |
11742
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22198
359.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
17862
289.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
18593
302.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
131047
152.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
300227
350.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
113777
133.3 IPS |
|
|
Object Detection (SP)
|
100% |
7500
594.9 IPS |
|
|
Object Detection (HP)
|
100% |
13550
1.07 KIPS |
|
|
Object Detection (Q)
|
87% |
7233
580.9 IPS |
|
|
Face Detection (SP)
|
100% |
30922
367.4 IPS |
|
|
Face Detection (HP)
|
100% |
47293
561.9 IPS |
|
|
Face Detection (Q)
|
97% |
25306
301.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
55496
427.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
73931
569.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
46729
374.7 IPS |
|
|
Style Transfer (SP)
|
100% |
237695
305.6 IPS |
|
|
Style Transfer (HP)
|
100% |
440105
565.8 IPS |
|
|
Style Transfer (Q)
|
98% |
201327
259.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42573
1.57 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58549
2.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32600
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
4215
5.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4585
6.12 KIPS |
|
|
Text Classification (Q)
|
97% |
2933
3.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
7390
127.3 IPS |
|
|
Machine Translation (HP)
|
100% |
8640
148.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3351
62.9 IPS |
