ASUS System Product Name
Geekbench AI Score
16750
Single Precision Score
16841
Half Precision Score
39939
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | May 21 2025 07:10 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% |
7860
1.46 KIPS |
|
|
Image Classification (HP)
|
100% |
7721
1.44 KIPS |
|
|
Image Classification (Q)
|
100% |
20315
3.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12374
200.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12124
196.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
36300
588.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
35464
41.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
35414
41.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
141839
166.1 IPS |
|
|
Object Detection (SP)
|
100% |
9653
765.7 IPS |
|
|
Object Detection (HP)
|
100% |
9590
760.7 IPS |
|
|
Object Detection (Q)
|
88% |
22359
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
23085
274.3 IPS |
|
|
Face Detection (HP)
|
100% |
24097
286.3 IPS |
|
|
Face Detection (Q)
|
100% |
63280
751.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
30113
232.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
29807
229.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
82626
643.1 IPS |
|
|
Style Transfer (SP)
|
100% |
89355
114.9 IPS |
|
|
Style Transfer (HP)
|
100% |
89311
114.8 IPS |
|
|
Style Transfer (Q)
|
98% |
323286
416.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16785
619.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17197
635.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
44671
1.65 KIPS |
|
|
Text Classification (SP)
|
100% |
5113
6.82 KIPS |
|
|
Text Classification (HP)
|
100% |
5352
7.14 KIPS |
|
|
Text Classification (Q)
|
92% |
5844
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
9795
168.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9781
168.5 IPS |
|
|
Machine Translation (Q)
|
100% |
10007
172.4 IPS |
