ASUS System Product Name
Geekbench AI Score
14613
Single Precision Score
14542
Half Precision Score
34726
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | jzwVIC |
| Upload Date | March 18 2025 01:34 AM |
| Views | 4 |
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% |
7294
1.36 KIPS |
|
|
Image Classification (HP)
|
100% |
7304
1.36 KIPS |
|
|
Image Classification (Q)
|
100% |
18592
3.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10140
164.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9716
157.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
27122
439.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
31280
36.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
30687
35.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
123538
144.6 IPS |
|
|
Object Detection (SP)
|
100% |
9048
717.7 IPS |
|
|
Object Detection (HP)
|
100% |
8720
691.7 IPS |
|
|
Object Detection (Q)
|
88% |
21418
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
17766
211.1 IPS |
|
|
Face Detection (HP)
|
100% |
18192
216.2 IPS |
|
|
Face Detection (Q)
|
100% |
47137
560.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
22928
176.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
23307
179.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
69961
544.5 IPS |
|
|
Style Transfer (SP)
|
100% |
81392
104.6 IPS |
|
|
Style Transfer (HP)
|
100% |
80477
103.5 IPS |
|
|
Style Transfer (Q)
|
98% |
292837
377.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14505
535.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14925
551.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38430
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
5078
6.78 KIPS |
|
|
Text Classification (HP)
|
100% |
4957
6.62 KIPS |
|
|
Text Classification (Q)
|
92% |
5762
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
8690
149.7 IPS |
|
|
Machine Translation (HP)
|
100% |
8822
152.0 IPS |
|
|
Machine Translation (Q)
|
100% |
8938
154.0 IPS |
