GMKtec NucBox_EVO-X2
Geekbench AI Score
25369
Single Precision Score
31757
Half Precision Score
19957
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | denka_b |
| Upload Date | June 19 2025 02:02 AM |
| Views | 6 |
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% |
12328
2.29 KIPS |
|
|
Image Classification (HP)
|
100% |
13613
2.53 KIPS |
|
|
Image Classification (Q)
|
100% |
10958
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22080
357.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
17090
277.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
18512
301.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
126226
147.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
199303
232.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
110950
130.0 IPS |
|
|
Object Detection (SP)
|
100% |
7236
573.9 IPS |
|
|
Object Detection (HP)
|
100% |
13284
1.05 KIPS |
|
|
Object Detection (Q)
|
87% |
7020
563.8 IPS |
|
|
Face Detection (SP)
|
100% |
30580
363.4 IPS |
|
|
Face Detection (HP)
|
100% |
44843
532.8 IPS |
|
|
Face Detection (Q)
|
97% |
25127
299.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
54783
422.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
67659
521.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
44633
357.9 IPS |
|
|
Style Transfer (SP)
|
100% |
230944
296.9 IPS |
|
|
Style Transfer (HP)
|
100% |
360127
462.9 IPS |
|
|
Style Transfer (Q)
|
98% |
197323
254.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40406
1.49 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48338
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31306
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
4003
5.34 KIPS |
|
|
Text Classification (HP)
|
100% |
4026
5.37 KIPS |
|
|
Text Classification (Q)
|
97% |
2763
3.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
7099
122.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7966
137.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3315
62.2 IPS |
