ASUS System Product Name
Geekbench AI Score
5941
Single Precision Score
5787
Half Precision Score
8227
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Sufferage |
| Upload Date | August 31 2024 08:02 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. CROSSHAIR VI HERO |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4220
784.8 IPS |
|
|
Image Classification (HP)
|
100% |
4174
776.3 IPS |
|
|
Image Classification (Q)
|
100% |
5555
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3465
56.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2948
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6627
107.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10639
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
10749
12.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
22298
26.2 IPS |
|
|
Object Detection (SP)
|
100% |
4412
349.9 IPS |
|
|
Object Detection (HP)
|
100% |
4428
351.2 IPS |
|
|
Object Detection (Q)
|
87% |
6816
546.7 IPS |
|
|
Face Detection (SP)
|
100% |
10713
127.3 IPS |
|
|
Face Detection (HP)
|
100% |
9928
118.0 IPS |
|
|
Face Detection (Q)
|
97% |
19760
235.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11453
88.2 IPS |
|
|
Depth Estimation (HP)
|
100% |
11667
89.9 IPS |
|
|
Depth Estimation (Q)
|
79% |
19117
151.6 IPS |
|
|
Style Transfer (SP)
|
100% |
31342
40.3 IPS |
|
|
Style Transfer (HP)
|
100% |
31529
40.5 IPS |
|
|
Style Transfer (Q)
|
98% |
61874
79.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6175
228.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6178
228.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10965
406.2 IPS |
|
|
Text Classification (SP)
|
100% |
884
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
900
1.20 KIPS |
|
|
Text Classification (Q)
|
91% |
478
643.0 IPS |
|
|
Machine Translation (SP)
|
100% |
3807
65.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3543
61.0 IPS |
|
|
Machine Translation (Q)
|
90% |
2073
36.0 IPS |
