GMKtec NucBox_EVO-X2
Geekbench AI Score
26168
Single Precision Score
35897
Half Precision Score
20248
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Patrick_ServeTheHome |
| Upload Date | June 02 2025 05:23 PM |
| Views | 4 |
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 w/ Radeon 8060S |
| 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% |
13255
2.47 KIPS |
|
|
Image Classification (HP)
|
100% |
14189
2.64 KIPS |
|
|
Image Classification (Q)
|
100% |
11676
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22104
358.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
17608
285.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
18183
295.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
130109
151.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
300303
350.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
111685
130.8 IPS |
|
|
Object Detection (SP)
|
100% |
7369
584.5 IPS |
|
|
Object Detection (HP)
|
100% |
13962
1.11 KIPS |
|
|
Object Detection (Q)
|
87% |
7132
572.8 IPS |
|
|
Face Detection (SP)
|
100% |
30486
362.2 IPS |
|
|
Face Detection (HP)
|
100% |
47083
559.4 IPS |
|
|
Face Detection (Q)
|
97% |
24708
294.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
55646
428.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
75400
580.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
46531
373.2 IPS |
|
|
Style Transfer (SP)
|
100% |
234195
301.1 IPS |
|
|
Style Transfer (HP)
|
100% |
431569
554.8 IPS |
|
|
Style Transfer (Q)
|
98% |
201789
260.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43424
1.60 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58828
2.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32497
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
4192
5.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4377
5.84 KIPS |
|
|
Text Classification (Q)
|
97% |
2826
3.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
7412
127.7 IPS |
|
|
Machine Translation (HP)
|
100% |
8599
148.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3216
60.3 IPS |
