ASUS System Product Name
Geekbench AI Score
15494
Single Precision Score
15018
Half Precision Score
33204
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | December 19 2024 10:50 PM |
| Views | 23 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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. ROG CROSSHAIR X670E GENE |
| Power Plan | Balanced |
| 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% |
7441
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
7143
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
15848
2.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9411
152.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9045
146.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
19797
320.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
33826
39.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
33929
39.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
137268
160.7 IPS |
|
|
Object Detection (SP)
|
100% |
9282
736.2 IPS |
|
|
Object Detection (HP)
|
100% |
8949
709.9 IPS |
|
|
Object Detection (Q)
|
88% |
19483
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
23149
275.1 IPS |
|
|
Face Detection (HP)
|
100% |
19960
237.2 IPS |
|
|
Face Detection (Q)
|
100% |
49487
588.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
26347
203.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
26283
202.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
69347
539.6 IPS |
|
|
Style Transfer (SP)
|
100% |
88770
114.1 IPS |
|
|
Style Transfer (HP)
|
100% |
88656
114.0 IPS |
|
|
Style Transfer (Q)
|
98% |
310497
400.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15399
568.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16053
592.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39452
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
5702
7.61 KIPS |
|
|
Text Classification (HP)
|
100% |
5246
7.00 KIPS |
|
|
Text Classification (Q)
|
92% |
6288
8.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
7629
131.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7600
130.9 IPS |
|
|
Machine Translation (Q)
|
100% |
7345
126.5 IPS |
