ASUS System Product Name
Geekbench AI Score
16257
Single Precision Score
15839
Half Precision Score
38079
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 15 2025 10:49 PM |
| Views | 1 |
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 X870E APEX |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7730
1.44 KIPS |
|
|
Image Classification (HP)
|
100% |
8054
1.50 KIPS |
|
|
Image Classification (Q)
|
100% |
20071
3.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10635
172.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10568
171.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30087
487.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
35413
41.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
34844
40.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
135568
158.7 IPS |
|
|
Object Detection (SP)
|
100% |
9955
789.6 IPS |
|
|
Object Detection (HP)
|
100% |
9128
724.0 IPS |
|
|
Object Detection (Q)
|
88% |
22156
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
20602
244.8 IPS |
|
|
Face Detection (HP)
|
100% |
19760
234.8 IPS |
|
|
Face Detection (Q)
|
100% |
57446
682.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
32235
248.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
28378
218.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
78034
607.3 IPS |
|
|
Style Transfer (SP)
|
100% |
88945
114.3 IPS |
|
|
Style Transfer (HP)
|
100% |
88618
113.9 IPS |
|
|
Style Transfer (Q)
|
98% |
314648
405.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16282
601.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16219
598.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41520
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
4994
6.67 KIPS |
|
|
Text Classification (HP)
|
100% |
4959
6.62 KIPS |
|
|
Text Classification (Q)
|
92% |
5979
8.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
9268
159.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9190
158.3 IPS |
|
|
Machine Translation (Q)
|
100% |
10095
173.9 IPS |
