ASUS System Product Name
Geekbench AI Score
14251
Single Precision Score
14387
Half Precision Score
34637
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | jzwVIC |
| Upload Date | March 18 2025 01:37 AM |
| Views | 3 |
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 HERO |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7147
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
7076
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
17857
3.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9913
160.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9522
154.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
26745
433.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
31342
36.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
31155
36.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
123963
145.1 IPS |
|
|
Object Detection (SP)
|
100% |
8224
652.4 IPS |
|
|
Object Detection (HP)
|
100% |
8543
677.6 IPS |
|
|
Object Detection (Q)
|
88% |
20050
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
17808
211.6 IPS |
|
|
Face Detection (HP)
|
100% |
20534
244.0 IPS |
|
|
Face Detection (Q)
|
100% |
49938
593.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
23025
177.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
23584
181.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
71120
553.5 IPS |
|
|
Style Transfer (SP)
|
100% |
74933
96.3 IPS |
|
|
Style Transfer (HP)
|
100% |
74578
95.9 IPS |
|
|
Style Transfer (Q)
|
98% |
274946
354.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14290
527.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14061
519.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41109
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
5005
6.68 KIPS |
|
|
Text Classification (HP)
|
100% |
4795
6.40 KIPS |
|
|
Text Classification (Q)
|
92% |
5769
7.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
8610
148.3 IPS |
|
|
Machine Translation (HP)
|
100% |
8706
150.0 IPS |
|
|
Machine Translation (Q)
|
100% |
9042
155.8 IPS |
