ASUS System Product Name
Geekbench AI Score
6145
Single Precision Score
5990
Half Precision Score
8150
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 10:26 PM |
| 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. TUF GAMING B550M-PLUS |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3819
710.2 IPS |
|
|
Image Classification (HP)
|
100% |
3381
628.9 IPS |
|
|
Image Classification (Q)
|
100% |
5270
980.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4723
76.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4807
77.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7249
117.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9338
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
9381
10.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
20084
23.6 IPS |
|
|
Object Detection (SP)
|
100% |
3812
302.4 IPS |
|
|
Object Detection (HP)
|
100% |
3695
293.1 IPS |
|
|
Object Detection (Q)
|
87% |
6235
500.1 IPS |
|
|
Face Detection (SP)
|
100% |
9372
111.4 IPS |
|
|
Face Detection (HP)
|
100% |
8825
104.9 IPS |
|
|
Face Detection (Q)
|
97% |
18142
216.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9879
76.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
10024
77.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
18118
143.0 IPS |
|
|
Style Transfer (SP)
|
100% |
27738
35.7 IPS |
|
|
Style Transfer (HP)
|
100% |
27549
35.4 IPS |
|
|
Style Transfer (Q)
|
98% |
56921
73.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5501
203.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5644
208.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10564
391.3 IPS |
|
|
Text Classification (SP)
|
100% |
2654
3.54 KIPS |
|
|
Text Classification (HP)
|
100% |
2538
3.39 KIPS |
|
|
Text Classification (Q)
|
91% |
459
616.7 IPS |
|
|
Machine Translation (SP)
|
100% |
3193
55.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3027
52.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2981
51.3 IPS |
