ASUS System Product Name
Geekbench AI Score
15259
Single Precision Score
15073
Half Precision Score
33369
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | December 19 2024 10:53 PM |
| Views | 15 |
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% |
7399
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
7932
1.48 KIPS |
|
|
Image Classification (Q)
|
100% |
16243
3.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9374
152.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8755
141.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
19592
317.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
34074
39.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
34448
40.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
137478
160.9 IPS |
|
|
Object Detection (SP)
|
100% |
8704
690.4 IPS |
|
|
Object Detection (HP)
|
100% |
8566
679.4 IPS |
|
|
Object Detection (Q)
|
88% |
19569
1.57 KIPS |
|
|
Face Detection (SP)
|
100% |
20921
248.6 IPS |
|
|
Face Detection (HP)
|
100% |
19236
228.6 IPS |
|
|
Face Detection (Q)
|
100% |
48991
582.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
27189
209.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
26771
206.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
69411
540.1 IPS |
|
|
Style Transfer (SP)
|
100% |
89063
114.5 IPS |
|
|
Style Transfer (HP)
|
100% |
89373
114.9 IPS |
|
|
Style Transfer (Q)
|
98% |
311310
401.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15794
583.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15808
583.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40879
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
5308
7.08 KIPS |
|
|
Text Classification (HP)
|
100% |
5310
7.09 KIPS |
|
|
Text Classification (Q)
|
92% |
6308
8.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
7833
134.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7647
131.7 IPS |
|
|
Machine Translation (Q)
|
100% |
7326
126.2 IPS |
