ASUS System Product Name
Geekbench AI Score
7973
Single Precision Score
7974
Half Precision Score
19982
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 16 2025 02:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7900 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650M-E WIFI |
| Power Plan | QuickCpuScheme |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 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% |
4814
895.3 IPS |
|
|
Image Classification (HP)
|
100% |
4795
891.7 IPS |
|
|
Image Classification (Q)
|
100% |
12432
2.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6170
100.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5890
95.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
16361
265.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11330
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
11433
13.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
45703
53.5 IPS |
|
|
Object Detection (SP)
|
100% |
4986
395.5 IPS |
|
|
Object Detection (HP)
|
100% |
4934
391.3 IPS |
|
|
Object Detection (Q)
|
88% |
12581
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
12537
149.0 IPS |
|
|
Face Detection (HP)
|
100% |
12474
148.2 IPS |
|
|
Face Detection (Q)
|
100% |
33682
400.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11279
86.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
11637
89.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
36438
283.6 IPS |
|
|
Style Transfer (SP)
|
100% |
30196
38.8 IPS |
|
|
Style Transfer (HP)
|
100% |
30316
39.0 IPS |
|
|
Style Transfer (Q)
|
98% |
111201
143.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6714
247.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6776
250.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19777
732.4 IPS |
|
|
Text Classification (SP)
|
100% |
3647
4.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3590
4.79 KIPS |
|
|
Text Classification (Q)
|
92% |
4337
5.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
5923
102.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6101
105.1 IPS |
|
|
Machine Translation (Q)
|
100% |
7414
127.7 IPS |
