ASUS System Product Name
Geekbench AI Score
5707
Single Precision Score
2549
Half Precision Score
6867
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 21 2024 04:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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 CROSSHAIR X870E HERO |
| Power Plan | High performance |
| 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 | 5.50 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2513
467.4 IPS |
|
|
Image Classification (HP)
|
100% |
786
146.2 IPS |
|
|
Image Classification (Q)
|
99% |
6559
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2321
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1394
22.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3801
61.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
22856
26.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
13126
15.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
61382
71.9 IPS |
|
|
Object Detection (SP)
|
100% |
3276
259.8 IPS |
|
|
Object Detection (HP)
|
100% |
1016
80.6 IPS |
|
|
Object Detection (Q)
|
88% |
3166
253.8 IPS |
|
|
Face Detection (SP)
|
100% |
4530
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
2360
28.0 IPS |
|
|
Face Detection (Q)
|
97% |
6643
79.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12844
99.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3839
29.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
13723
109.8 IPS |
|
|
Style Transfer (SP)
|
100% |
38704
49.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29636
38.1 IPS |
|
|
Style Transfer (Q)
|
98% |
43852
56.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4494
166.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3422
126.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6323
234.1 IPS |
|
|
Text Classification (SP)
|
100% |
2443
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
927
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
599
801.7 IPS |
|
|
Machine Translation (SP)
|
100% |
3400
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
932
16.1 IPS |
|
|
Machine Translation (Q)
|
60% |
3179
70.9 IPS |
