GMKtec NucBox_EVO-X2
Geekbench AI Score
24871
Single Precision Score
35049
Half Precision Score
20706
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | bitbanger |
| Upload Date | November 02 2025 12:02 PM |
| Views | 9 |
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% |
12629
2.35 KIPS |
|
|
Image Classification (HP)
|
100% |
13284
2.47 KIPS |
|
|
Image Classification (Q)
|
100% |
11535
2.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14656
237.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
17116
277.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
19420
315.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
129773
151.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
299628
349.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
113259
132.7 IPS |
|
|
Object Detection (SP)
|
100% |
7328
581.3 IPS |
|
|
Object Detection (HP)
|
100% |
13658
1.08 KIPS |
|
|
Object Detection (Q)
|
87% |
7122
572.0 IPS |
|
|
Face Detection (SP)
|
100% |
30445
361.7 IPS |
|
|
Face Detection (HP)
|
100% |
46576
553.4 IPS |
|
|
Face Detection (Q)
|
97% |
25213
300.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
55797
429.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
75213
579.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
46444
372.5 IPS |
|
|
Style Transfer (SP)
|
100% |
244077
313.8 IPS |
|
|
Style Transfer (HP)
|
100% |
439491
565.0 IPS |
|
|
Style Transfer (Q)
|
98% |
208016
268.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43265
1.60 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57561
2.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35122
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
4173
5.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4182
5.58 KIPS |
|
|
Text Classification (Q)
|
97% |
2981
3.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
6873
118.4 IPS |
|
|
Machine Translation (HP)
|
100% |
8114
139.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3144
59.0 IPS |
