ASUS System Product Name
Geekbench AI Score
12930
Single Precision Score
12832
Half Precision Score
29108
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 07 2024 07:30 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X670E-PLUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X 12-Core Processor |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7064
1.31 KIPS |
|
|
Image Classification (HP)
|
100% |
7178
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
14776
2.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7734
125.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7717
125.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
18113
293.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
25607
29.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
25604
29.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
101532
118.9 IPS |
|
|
Object Detection (SP)
|
100% |
8513
675.2 IPS |
|
|
Object Detection (HP)
|
100% |
7882
625.2 IPS |
|
|
Object Detection (Q)
|
88% |
16851
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
17622
209.4 IPS |
|
|
Face Detection (HP)
|
100% |
18384
218.4 IPS |
|
|
Face Detection (Q)
|
100% |
46867
556.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
21594
166.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
20958
161.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
55909
435.0 IPS |
|
|
Style Transfer (SP)
|
100% |
66908
86.0 IPS |
|
|
Style Transfer (HP)
|
100% |
66571
85.6 IPS |
|
|
Style Transfer (Q)
|
98% |
238235
307.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12867
475.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12631
466.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34361
1.27 KIPS |
|
|
Text Classification (SP)
|
100% |
4746
6.33 KIPS |
|
|
Text Classification (HP)
|
100% |
4716
6.29 KIPS |
|
|
Text Classification (Q)
|
92% |
6404
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
7057
121.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7090
122.1 IPS |
|
|
Machine Translation (Q)
|
100% |
6942
119.6 IPS |
