ASUS System Product Name
Geekbench AI Score
3819
Single Precision Score
1438
Half Precision Score
5208
Quantized Score
Geekbench AI 1.2.0 Corporate for Windows AVX2
Result Information
| User | SoulRipper |
| Upload Date | January 25 2025 11:15 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VII HERO |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2921
543.2 IPS |
|
|
Image Classification (HP)
|
100% |
506
94.2 IPS |
|
|
Image Classification (Q)
|
96% |
5755
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1926
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
737
11.9 IPS |
|
|
Image Segmentation (Q)
|
97% |
2726
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7821
9.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
5693
6.64 IPS |
|
|
Pose Estimation (Q)
|
86% |
20402
24.1 IPS |
|
|
Object Detection (SP)
|
100% |
2875
228.0 IPS |
|
|
Object Detection (HP)
|
100% |
621
49.3 IPS |
|
|
Object Detection (Q)
|
58% |
4130
451.2 IPS |
|
|
Face Detection (SP)
|
100% |
6520
77.5 IPS |
|
|
Face Detection (HP)
|
100% |
1423
16.9 IPS |
|
|
Face Detection (Q)
|
96% |
9416
112.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8810
67.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2217
17.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
14685
117.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17179
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14065
18.1 IPS |
|
|
Style Transfer (Q)
|
87% |
23247
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2123
78.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1757
64.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3230
119.7 IPS |
|
|
Text Classification (SP)
|
100% |
1249
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
564
752.8 IPS |
|
|
Text Classification (Q)
|
97% |
425
569.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1996
34.4 IPS |
|
|
Machine Translation (HP)
|
100% |
655
11.3 IPS |
|
|
Machine Translation (Q)
|
68% |
2521
48.7 IPS |
