MinisForum HX90 Win11 OpenVINO SYSTEM_MANUFACTURER HX90
Geekbench AI Score
4279
Single Precision Score
4180
Half Precision Score
7738
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | cllee |
| Upload Date | April 04 2025 10:35 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5900HX with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SYSTEM_MANUFACTURER HX90 |
| Motherboard | Default string HX90 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900HX |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2852
530.4 IPS |
|
|
Image Classification (HP)
|
100% |
2830
526.2 IPS |
|
|
Image Classification (Q)
|
100% |
5444
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2972
48.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3101
50.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5948
96.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5825
6.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
4443
5.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
12849
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
2261
179.3 IPS |
|
|
Object Detection (HP)
|
100% |
2124
168.4 IPS |
|
|
Object Detection (Q)
|
87% |
5526
443.2 IPS |
|
|
Face Detection (SP)
|
100% |
4251
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
4434
52.7 IPS |
|
|
Face Detection (Q)
|
97% |
14892
177.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7001
53.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
7328
56.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
13671
107.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16976
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
16875
21.7 IPS |
|
|
Style Transfer (Q)
|
98% |
39376
50.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3315
122.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3392
125.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8412
311.6 IPS |
|
|
Text Classification (SP)
|
100% |
2732
3.65 KIPS |
|
|
Text Classification (HP)
|
100% |
2638
3.52 KIPS |
|
|
Text Classification (Q)
|
91% |
1196
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4034
69.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4014
69.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4152
71.5 IPS |
