ASUS System Product Name
Geekbench AI Score
16768
Single Precision Score
17054
Half Precision Score
40107
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | May 21 2025 06:40 PM |
| Views | 5 |
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% |
8539
1.59 KIPS |
|
|
Image Classification (HP)
|
100% |
8770
1.63 KIPS |
|
|
Image Classification (Q)
|
100% |
19349
3.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12016
194.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12718
206.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
36624
593.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
35599
41.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
35587
41.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
140468
164.4 IPS |
|
|
Object Detection (SP)
|
100% |
9456
750.0 IPS |
|
|
Object Detection (HP)
|
100% |
9826
779.4 IPS |
|
|
Object Detection (Q)
|
88% |
22741
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
23163
275.2 IPS |
|
|
Face Detection (HP)
|
100% |
24132
286.7 IPS |
|
|
Face Detection (Q)
|
100% |
66290
787.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
31120
239.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
29966
230.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
80364
625.5 IPS |
|
|
Style Transfer (SP)
|
100% |
88559
113.8 IPS |
|
|
Style Transfer (HP)
|
100% |
88503
113.8 IPS |
|
|
Style Transfer (Q)
|
98% |
322340
415.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16690
616.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16588
612.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
42957
1.59 KIPS |
|
|
Text Classification (SP)
|
100% |
5093
6.80 KIPS |
|
|
Text Classification (HP)
|
100% |
5342
7.13 KIPS |
|
|
Text Classification (Q)
|
92% |
6468
8.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
9381
161.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9413
162.1 IPS |
|
|
Machine Translation (Q)
|
100% |
9973
171.8 IPS |
