ASUS System Product Name
Geekbench AI Score
8736
Single Precision Score
8706
Half Precision Score
21930
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 24 2025 09:09 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-I GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5378
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
5100
948.5 IPS |
|
|
Image Classification (Q)
|
100% |
13112
2.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6574
106.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6866
111.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
17916
290.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12598
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12867
15.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
52072
61.0 IPS |
|
|
Object Detection (SP)
|
100% |
5499
436.2 IPS |
|
|
Object Detection (HP)
|
100% |
5392
427.7 IPS |
|
|
Object Detection (Q)
|
88% |
14630
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
13093
155.6 IPS |
|
|
Face Detection (HP)
|
100% |
12778
151.8 IPS |
|
|
Face Detection (Q)
|
100% |
33893
402.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13705
105.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
13630
105.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
42012
327.0 IPS |
|
|
Style Transfer (SP)
|
100% |
34360
44.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33771
43.4 IPS |
|
|
Style Transfer (Q)
|
98% |
127833
164.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7305
269.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7422
274.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22385
829.0 IPS |
|
|
Text Classification (SP)
|
100% |
3738
4.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3777
5.04 KIPS |
|
|
Text Classification (Q)
|
92% |
4556
6.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
6279
108.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6245
107.6 IPS |
|
|
Machine Translation (Q)
|
100% |
7747
133.4 IPS |
