GMKtec NucBox_EVO-X2
Geekbench AI Score
12681
Single Precision Score
12962
Half Precision Score
29100
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | July 16 2025 06:47 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6381
1.19 KIPS |
|
|
Image Classification (HP)
|
100% |
6797
1.26 KIPS |
|
|
Image Classification (Q)
|
100% |
15266
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8537
138.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9036
146.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23474
380.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
26362
30.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26948
31.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
102227
119.7 IPS |
|
|
Object Detection (SP)
|
100% |
7305
579.5 IPS |
|
|
Object Detection (HP)
|
100% |
8287
657.3 IPS |
|
|
Object Detection (Q)
|
88% |
18043
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
18475
219.5 IPS |
|
|
Face Detection (HP)
|
100% |
16793
199.5 IPS |
|
|
Face Detection (Q)
|
100% |
42152
500.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
22425
172.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
21292
164.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
54321
422.7 IPS |
|
|
Style Transfer (SP)
|
100% |
69407
89.2 IPS |
|
|
Style Transfer (HP)
|
100% |
70523
90.7 IPS |
|
|
Style Transfer (Q)
|
98% |
246046
317.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12098
446.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12245
452.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30616
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
4103
5.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4284
5.72 KIPS |
|
|
Text Classification (Q)
|
92% |
4552
6.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
7186
123.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7380
127.1 IPS |
|
|
Machine Translation (Q)
|
100% |
8392
144.6 IPS |
