ASUS System Product Name
Geekbench AI Score
5842
Single Precision Score
5835
Half Precision Score
8585
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | t3nk3n |
| Upload Date | December 11 2025 05:14 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | CachyOS |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VIII FORMULA |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 6.21 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3669
682.3 IPS |
|
|
Image Classification (HP)
|
100% |
3681
684.6 IPS |
|
|
Image Classification (Q)
|
100% |
5490
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4286
69.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4287
69.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5968
97.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6852
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
6870
8.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
13817
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
3467
275.0 IPS |
|
|
Object Detection (HP)
|
100% |
3432
272.2 IPS |
|
|
Object Detection (Q)
|
87% |
5597
448.9 IPS |
|
|
Face Detection (SP)
|
100% |
8148
96.8 IPS |
|
|
Face Detection (HP)
|
100% |
8186
97.3 IPS |
|
|
Face Detection (Q)
|
97% |
15886
189.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8585
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8510
65.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
15640
123.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20262
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
20322
26.1 IPS |
|
|
Style Transfer (Q)
|
98% |
39342
50.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4393
162.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4392
162.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8057
298.4 IPS |
|
|
Text Classification (SP)
|
100% |
3319
4.43 KIPS |
|
|
Text Classification (HP)
|
100% |
3324
4.44 KIPS |
|
|
Text Classification (Q)
|
91% |
1875
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
6004
103.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5951
102.5 IPS |
|
|
Machine Translation (Q)
|
100% |
5819
100.2 IPS |
