ASUS System Product Name
Geekbench AI Score
5495
Single Precision Score
5495
Half Precision Score
8299
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Sufferage |
| Upload Date | August 31 2024 08:06 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% |
4024
748.3 IPS |
|
|
Image Classification (HP)
|
100% |
4023
748.1 IPS |
|
|
Image Classification (Q)
|
100% |
5918
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1991
32.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6560
106.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10599
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
10650
12.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
22172
26.0 IPS |
|
|
Object Detection (SP)
|
100% |
4201
333.2 IPS |
|
|
Object Detection (HP)
|
100% |
4259
337.8 IPS |
|
|
Object Detection (Q)
|
87% |
6725
539.4 IPS |
|
|
Face Detection (SP)
|
100% |
11037
131.1 IPS |
|
|
Face Detection (HP)
|
100% |
10990
130.6 IPS |
|
|
Face Detection (Q)
|
97% |
20539
244.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11539
88.9 IPS |
|
|
Depth Estimation (HP)
|
100% |
11531
88.8 IPS |
|
|
Depth Estimation (Q)
|
79% |
19891
157.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30488
39.2 IPS |
|
|
Style Transfer (HP)
|
100% |
30558
39.3 IPS |
|
|
Style Transfer (Q)
|
98% |
61882
79.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5990
221.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5988
221.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11094
410.9 IPS |
|
|
Text Classification (SP)
|
100% |
849
1.13 KIPS |
|
|
Text Classification (HP)
|
100% |
854
1.14 KIPS |
|
|
Text Classification (Q)
|
91% |
454
609.7 IPS |
|
|
Machine Translation (SP)
|
100% |
3383
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3490
60.1 IPS |
|
|
Machine Translation (Q)
|
90% |
2103
36.5 IPS |
