Malfurion 4.0 ASUS System Product Name
Geekbench AI Score
14295
Single Precision Score
14039
Half Precision Score
33593
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Geeooff |
| Upload Date | March 23 2025 04:38 AM |
| Views | 3 |
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 HERO |
| 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% |
7392
1.37 KIPS |
|
|
Image Classification (HP)
|
100% |
6639
1.23 KIPS |
|
|
Image Classification (Q)
|
100% |
18355
3.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9620
156.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9671
156.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
26021
421.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
28700
33.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
28723
33.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
117792
137.9 IPS |
|
|
Object Detection (SP)
|
100% |
8521
675.9 IPS |
|
|
Object Detection (HP)
|
100% |
8377
664.5 IPS |
|
|
Object Detection (Q)
|
88% |
18830
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
20151
239.4 IPS |
|
|
Face Detection (HP)
|
100% |
18830
223.7 IPS |
|
|
Face Detection (Q)
|
100% |
51741
614.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
24831
191.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
25203
194.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
66493
517.5 IPS |
|
|
Style Transfer (SP)
|
100% |
75569
97.1 IPS |
|
|
Style Transfer (HP)
|
100% |
77040
99.0 IPS |
|
|
Style Transfer (Q)
|
98% |
277073
357.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14481
534.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14364
530.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36154
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
4612
6.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4532
6.05 KIPS |
|
|
Text Classification (Q)
|
92% |
5500
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
8116
139.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8089
139.3 IPS |
|
|
Machine Translation (Q)
|
100% |
9116
157.0 IPS |
