ASUS System Product Name
Geekbench AI Score
7962
Single Precision Score
2962
Half Precision Score
13629
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 04:24 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5526
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
908
168.9 IPS |
|
|
Image Classification (Q)
|
99% |
14111
2.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3113
50.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1468
23.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5457
88.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18482
21.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18062
21.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
85182
99.9 IPS |
|
|
Object Detection (SP)
|
100% |
5885
466.8 IPS |
|
|
Object Detection (HP)
|
100% |
1184
93.9 IPS |
|
|
Object Detection (Q)
|
86% |
14468
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
10916
129.7 IPS |
|
|
Face Detection (HP)
|
100% |
2722
32.3 IPS |
|
|
Face Detection (Q)
|
97% |
16185
193.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17635
135.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4566
35.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
30312
241.9 IPS |
|
|
Style Transfer (SP)
|
100% |
52692
67.7 IPS |
|
|
Style Transfer (HP)
|
100% |
39675
51.0 IPS |
|
|
Style Transfer (Q)
|
98% |
54616
70.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5376
198.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3506
129.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6816
252.4 IPS |
|
|
Text Classification (SP)
|
100% |
2365
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
987
1.32 KIPS |
|
|
Text Classification (Q)
|
97% |
2143
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4243
73.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1070
18.4 IPS |
|
|
Machine Translation (Q)
|
65% |
5956
119.7 IPS |
