GMKtec NucBox_EVO-X2
Geekbench AI Score
26875
Single Precision Score
38502
Half Precision Score
20770
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | bitbanger |
| Upload Date | November 02 2025 01:10 PM |
| Views | 8 |
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 | Balanced |
| 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% |
12833
2.39 KIPS |
|
|
Image Classification (HP)
|
100% |
13528
2.52 KIPS |
|
|
Image Classification (Q)
|
100% |
11479
2.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23411
379.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
32740
530.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
20166
327.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
130796
152.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
296749
346.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
111353
130.4 IPS |
|
|
Object Detection (SP)
|
100% |
7318
580.4 IPS |
|
|
Object Detection (HP)
|
100% |
14125
1.12 KIPS |
|
|
Object Detection (Q)
|
87% |
7133
572.9 IPS |
|
|
Face Detection (SP)
|
100% |
29880
355.0 IPS |
|
|
Face Detection (HP)
|
100% |
47904
569.2 IPS |
|
|
Face Detection (Q)
|
97% |
25086
299.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
56419
434.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
75830
584.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
45204
362.5 IPS |
|
|
Style Transfer (SP)
|
100% |
239072
307.3 IPS |
|
|
Style Transfer (HP)
|
100% |
441948
568.1 IPS |
|
|
Style Transfer (Q)
|
98% |
205119
264.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46939
1.73 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62489
2.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34578
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
4593
6.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4477
5.98 KIPS |
|
|
Text Classification (Q)
|
97% |
3029
4.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
7867
135.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8586
147.9 IPS |
|
|
Machine Translation (Q)
|
70% |
3336
62.6 IPS |
