GMKtec NucBox EVO-X1
Geekbench AI Score
25183
Single Precision Score
29528
Half Precision Score
19261
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 16 2025 04:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox EVO-X1 |
| Motherboard | GMKtec NucBox EVO-X1 |
| 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% |
11623
2.16 KIPS |
|
|
Image Classification (HP)
|
100% |
11873
2.21 KIPS |
|
|
Image Classification (Q)
|
99% |
9412
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14214
230.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11462
185.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
12740
207.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
189112
220.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
389843
454.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
170539
199.8 IPS |
|
|
Object Detection (SP)
|
100% |
12220
969.3 IPS |
|
|
Object Detection (HP)
|
99% |
13059
1.04 KIPS |
|
|
Object Detection (Q)
|
87% |
10364
832.3 IPS |
|
|
Face Detection (SP)
|
100% |
28247
335.6 IPS |
|
|
Face Detection (HP)
|
100% |
32492
386.1 IPS |
|
|
Face Detection (Q)
|
97% |
24662
294.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
62937
484.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
77148
594.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
48158
385.9 IPS |
|
|
Style Transfer (SP)
|
100% |
373706
480.4 IPS |
|
|
Style Transfer (HP)
|
100% |
538234
691.9 IPS |
|
|
Style Transfer (Q)
|
98% |
318278
410.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40760
1.51 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51808
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30552
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3230
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
3231
4.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1737
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3072
52.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3221
55.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1653
31.0 IPS |
