GMKtec NucBox EVO-X1
Geekbench AI Score
19985
Single Precision Score
28954
Half Precision Score
12553
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tuldok89 |
| Upload Date | August 23 2025 09:02 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox EVO-X1 |
| Motherboard | GMKtec NucBox EVO-X1 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8568
1.59 KIPS |
|
|
Image Classification (HP)
|
99% |
10620
1.98 KIPS |
|
|
Image Classification (Q)
|
100% |
5538
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11851
192.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15553
252.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
9199
149.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
124620
145.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
343681
401.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
98025
114.9 IPS |
|
|
Object Detection (SP)
|
100% |
9806
777.8 IPS |
|
|
Object Detection (HP)
|
100% |
13234
1.05 KIPS |
|
|
Object Detection (Q)
|
85% |
7126
573.2 IPS |
|
|
Face Detection (SP)
|
100% |
23409
278.1 IPS |
|
|
Face Detection (HP)
|
100% |
32753
389.2 IPS |
|
|
Face Detection (Q)
|
97% |
17232
205.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
57404
442.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
79038
608.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
30424
243.7 IPS |
|
|
Style Transfer (SP)
|
100% |
225751
290.2 IPS |
|
|
Style Transfer (HP)
|
100% |
508583
653.8 IPS |
|
|
Style Transfer (Q)
|
98% |
165948
214.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32066
1.18 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
41239
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18560
687.3 IPS |
|
|
Text Classification (SP)
|
100% |
2534
3.38 KIPS |
|
|
Text Classification (HP)
|
99% |
3115
4.16 KIPS |
|
|
Text Classification (Q)
|
97% |
1281
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3323
57.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3260
56.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1320
24.8 IPS |
