ASUS System Product Name
Geekbench AI Score
8599
Single Precision Score
8645
Half Precision Score
19540
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | HdwJunkie |
| Upload Date | April 14 2025 09:56 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X670-P WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5146
956.9 IPS |
|
|
Image Classification (HP)
|
100% |
5003
930.5 IPS |
|
|
Image Classification (Q)
|
100% |
10516
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4932
79.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4945
80.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10660
172.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15406
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
15342
17.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
60464
70.8 IPS |
|
|
Object Detection (SP)
|
100% |
5435
431.1 IPS |
|
|
Object Detection (HP)
|
100% |
5418
429.8 IPS |
|
|
Object Detection (Q)
|
88% |
12505
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
13017
154.7 IPS |
|
|
Face Detection (HP)
|
100% |
13215
157.0 IPS |
|
|
Face Detection (Q)
|
100% |
32906
391.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14135
108.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14465
111.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
39756
309.3 IPS |
|
|
Style Transfer (SP)
|
100% |
38989
50.1 IPS |
|
|
Style Transfer (HP)
|
100% |
40417
52.0 IPS |
|
|
Style Transfer (Q)
|
98% |
148266
191.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7758
286.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7819
288.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22742
842.2 IPS |
|
|
Text Classification (SP)
|
100% |
3778
5.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3847
5.13 KIPS |
|
|
Text Classification (Q)
|
92% |
4208
5.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
4947
85.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4883
84.1 IPS |
|
|
Machine Translation (Q)
|
100% |
5158
88.9 IPS |
