ASUS System Product Name
Geekbench AI Score
3735
Single Precision Score
1625
Half Precision Score
3978
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 14 2024 02:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VIII DARK HERO |
| Power Plan | Balanced |
| 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% |
1748
325.1 IPS |
|
|
Image Classification (HP)
|
100% |
532
98.9 IPS |
|
|
Image Classification (Q)
|
96% |
3773
704.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2203
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
855
13.9 IPS |
|
|
Image Segmentation (Q)
|
97% |
2647
43.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9943
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
6935
8.09 IPS |
|
|
Pose Estimation (Q)
|
87% |
19179
22.7 IPS |
|
|
Object Detection (SP)
|
100% |
2362
187.3 IPS |
|
|
Object Detection (HP)
|
100% |
695
55.2 IPS |
|
|
Object Detection (Q)
|
86% |
2031
163.3 IPS |
|
|
Face Detection (SP)
|
100% |
3071
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
1493
17.7 IPS |
|
|
Face Detection (Q)
|
96% |
4676
55.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8419
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2451
18.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
8054
64.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21925
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
18824
24.2 IPS |
|
|
Style Transfer (Q)
|
87% |
19197
25.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2623
96.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2101
77.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3423
126.8 IPS |
|
|
Text Classification (SP)
|
100% |
1553
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
607
810.6 IPS |
|
|
Text Classification (Q)
|
97% |
422
564.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2534
43.7 IPS |
|
|
Machine Translation (HP)
|
100% |
667
11.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2447
54.6 IPS |
