ASUS System Product Name
Geekbench AI Score
5260
Single Precision Score
2560
Half Precision Score
6615
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 05:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI |
| Power Plan | High performance |
| 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 | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2307
429.1 IPS |
|
|
Image Classification (HP)
|
100% |
784
145.8 IPS |
|
|
Image Classification (Q)
|
99% |
5311
990.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1342
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1349
21.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3603
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
21923
25.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14455
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
69955
82.0 IPS |
|
|
Object Detection (SP)
|
100% |
2944
233.5 IPS |
|
|
Object Detection (HP)
|
100% |
1003
79.6 IPS |
|
|
Object Detection (Q)
|
88% |
2842
227.8 IPS |
|
|
Face Detection (SP)
|
100% |
4212
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
2212
26.3 IPS |
|
|
Face Detection (Q)
|
97% |
6068
72.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12088
93.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3676
28.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
12827
102.7 IPS |
|
|
Style Transfer (SP)
|
100% |
41995
54.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33333
42.8 IPS |
|
|
Style Transfer (Q)
|
98% |
40461
52.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4658
172.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3536
130.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6710
248.5 IPS |
|
|
Text Classification (SP)
|
100% |
2412
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
923
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
597
799.8 IPS |
|
|
Machine Translation (SP)
|
100% |
3378
58.2 IPS |
|
|
Machine Translation (HP)
|
100% |
894
15.4 IPS |
|
|
Machine Translation (Q)
|
60% |
3345
74.6 IPS |
