6000C28_Anta ASUS System Product Name
Geekbench AI Score
15717
Single Precision Score
15796
Half Precision Score
36842
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Fur1on |
| Upload Date | April 07 2025 08:17 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 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 9950X3D 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% |
7772
1.45 KIPS |
|
|
Image Classification (HP)
|
100% |
7577
1.41 KIPS |
|
|
Image Classification (Q)
|
100% |
18878
3.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10480
169.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
10781
174.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
29824
483.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
33185
38.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
33281
38.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
130666
153.0 IPS |
|
|
Object Detection (SP)
|
100% |
9299
737.6 IPS |
|
|
Object Detection (HP)
|
100% |
9661
766.3 IPS |
|
|
Object Detection (Q)
|
88% |
20691
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
20809
247.3 IPS |
|
|
Face Detection (HP)
|
100% |
20784
247.0 IPS |
|
|
Face Detection (Q)
|
100% |
57171
679.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
27129
209.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
28309
218.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
74667
581.1 IPS |
|
|
Style Transfer (SP)
|
100% |
85156
109.5 IPS |
|
|
Style Transfer (HP)
|
100% |
83937
107.9 IPS |
|
|
Style Transfer (Q)
|
98% |
302838
390.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15602
576.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15185
560.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40560
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
5233
6.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5415
7.23 KIPS |
|
|
Text Classification (Q)
|
92% |
5985
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
9324
160.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9072
156.3 IPS |
|
|
Machine Translation (Q)
|
100% |
9647
166.2 IPS |
