GMKtec NucBox_EVO-X2
Geekbench AI Score
25038
Single Precision Score
31704
Half Precision Score
19671
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | yas0083 |
| Upload Date | July 19 2025 06:57 AM |
| Views | 5 |
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 |
| 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% |
12280
2.28 KIPS |
|
|
Image Classification (HP)
|
100% |
13592
2.53 KIPS |
|
|
Image Classification (Q)
|
100% |
10967
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22192
359.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
17234
279.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
18493
300.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
113712
132.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
187377
218.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
105666
123.8 IPS |
|
|
Object Detection (SP)
|
100% |
7362
583.9 IPS |
|
|
Object Detection (HP)
|
100% |
13451
1.07 KIPS |
|
|
Object Detection (Q)
|
87% |
7045
565.8 IPS |
|
|
Face Detection (SP)
|
100% |
30337
360.5 IPS |
|
|
Face Detection (HP)
|
100% |
45782
544.0 IPS |
|
|
Face Detection (Q)
|
97% |
24186
288.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
54369
418.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
67838
522.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
44568
357.4 IPS |
|
|
Style Transfer (SP)
|
100% |
220349
283.3 IPS |
|
|
Style Transfer (HP)
|
100% |
347843
447.2 IPS |
|
|
Style Transfer (Q)
|
98% |
187672
242.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40657
1.50 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48022
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32382
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
4101
5.47 KIPS |
|
|
Text Classification (HP)
|
100% |
4132
5.52 KIPS |
|
|
Text Classification (Q)
|
97% |
2790
3.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
7005
120.7 IPS |
|
|
Machine Translation (HP)
|
100% |
8108
139.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3145
59.0 IPS |
