ASUS System Product Name
Geekbench AI Score
6147
Single Precision Score
6079
Half Precision Score
8058
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ahmedflix25 |
| Upload Date | December 03 2024 09:55 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B550M-ZAKU (WI-FI) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3654
679.5 IPS |
|
|
Image Classification (HP)
|
100% |
3529
656.2 IPS |
|
|
Image Classification (Q)
|
100% |
5568
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4840
78.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4636
75.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8409
136.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9752
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
9899
11.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
21738
25.5 IPS |
|
|
Object Detection (SP)
|
100% |
3814
302.5 IPS |
|
|
Object Detection (HP)
|
100% |
3892
308.7 IPS |
|
|
Object Detection (Q)
|
87% |
6257
501.8 IPS |
|
|
Face Detection (SP)
|
100% |
9248
109.9 IPS |
|
|
Face Detection (HP)
|
100% |
9143
108.6 IPS |
|
|
Face Detection (Q)
|
97% |
19791
236.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10542
81.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
10328
79.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
19897
157.1 IPS |
|
|
Style Transfer (SP)
|
100% |
28548
36.7 IPS |
|
|
Style Transfer (HP)
|
100% |
28301
36.4 IPS |
|
|
Style Transfer (Q)
|
98% |
60568
78.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5666
209.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5689
210.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11250
416.7 IPS |
|
|
Text Classification (SP)
|
100% |
2801
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2781
3.71 KIPS |
|
|
Text Classification (Q)
|
91% |
270
363.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2653
45.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2588
44.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2503
43.1 IPS |
