ASUS System Product Name
Geekbench AI Score
6185
Single Precision Score
6165
Half Precision Score
16862
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | acph |
| Upload Date | June 17 2025 12:26 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 7600X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | EndeavourOS |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650M-PLUS WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.46 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.02 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3898
725.0 IPS |
|
|
Image Classification (HP)
|
100% |
3902
725.6 IPS |
|
|
Image Classification (Q)
|
100% |
10875
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4219
68.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4161
67.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10507
170.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7024
8.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
7002
8.17 IPS |
|
|
Pose Estimation (Q)
|
98% |
27577
32.3 IPS |
|
|
Object Detection (SP)
|
100% |
3805
301.8 IPS |
|
|
Object Detection (HP)
|
100% |
3758
298.1 IPS |
|
|
Object Detection (Q)
|
88% |
11252
902.0 IPS |
|
|
Face Detection (SP)
|
100% |
9804
116.5 IPS |
|
|
Face Detection (HP)
|
100% |
9791
116.3 IPS |
|
|
Face Detection (Q)
|
100% |
28892
343.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9465
72.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9407
72.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
29588
230.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19596
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19544
25.1 IPS |
|
|
Style Transfer (Q)
|
98% |
72946
94.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4530
167.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4559
168.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14895
551.6 IPS |
|
|
Text Classification (SP)
|
100% |
3543
4.73 KIPS |
|
|
Text Classification (HP)
|
100% |
3550
4.74 KIPS |
|
|
Text Classification (Q)
|
92% |
6066
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
6387
110.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6374
109.8 IPS |
|
|
Machine Translation (Q)
|
100% |
9305
160.3 IPS |
