ASUS System Product Name
Geekbench AI Score
10374
Single Precision Score
10632
Half Precision Score
23955
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Strix_263 |
| Upload Date | March 08 2025 11:53 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X670E-F GAMING WIFI |
| Power Plan | Ultimative Leistung |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5762
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
5856
1.09 KIPS |
|
|
Image Classification (Q)
|
100% |
11640
2.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6442
104.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6795
110.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
15684
254.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
20908
24.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
22551
26.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
87271
102.2 IPS |
|
|
Object Detection (SP)
|
100% |
6347
503.4 IPS |
|
|
Object Detection (HP)
|
100% |
6792
538.8 IPS |
|
|
Object Detection (Q)
|
88% |
14441
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
14072
167.2 IPS |
|
|
Face Detection (HP)
|
100% |
13838
164.4 IPS |
|
|
Face Detection (Q)
|
100% |
37880
450.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16389
126.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15932
122.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
43319
337.1 IPS |
|
|
Style Transfer (SP)
|
100% |
51094
65.7 IPS |
|
|
Style Transfer (HP)
|
100% |
54446
70.0 IPS |
|
|
Style Transfer (Q)
|
98% |
200065
258.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11059
408.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10608
391.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28385
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
4051
5.41 KIPS |
|
|
Text Classification (HP)
|
100% |
4191
5.59 KIPS |
|
|
Text Classification (Q)
|
92% |
4980
6.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
5554
95.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5677
97.8 IPS |
|
|
Machine Translation (Q)
|
100% |
5830
100.4 IPS |
