ASUS System Product Name
Geekbench AI Score
22097
Single Precision Score
37424
Half Precision Score
38427
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 10:57 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) B580 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B550-PLUS WIFI II |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13112
2.44 KIPS |
|
|
Image Classification (HP)
|
100% |
19205
3.57 KIPS |
|
|
Image Classification (Q)
|
100% |
17698
3.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19092
309.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
25457
412.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
25934
420.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
83734
97.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
328654
383.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
571794
669.4 IPS |
|
|
Object Detection (SP)
|
100% |
10665
846.0 IPS |
|
|
Object Detection (HP)
|
100% |
19907
1.58 KIPS |
|
|
Object Detection (Q)
|
88% |
18974
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
32587
387.2 IPS |
|
|
Face Detection (HP)
|
100% |
46456
552.0 IPS |
|
|
Face Detection (Q)
|
100% |
48497
576.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
62430
481.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
125937
970.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
134669
1.05 KIPS |
|
|
Style Transfer (SP)
|
100% |
193583
248.9 IPS |
|
|
Style Transfer (HP)
|
100% |
546823
702.9 IPS |
|
|
Style Transfer (Q)
|
98% |
593067
764.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31758
1.17 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56585
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48635
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
3046
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
2873
3.83 KIPS |
|
|
Text Classification (Q)
|
92% |
2311
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3260
56.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3240
55.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3239
55.8 IPS |
