ASUS System Product Name
Geekbench AI Score
7412
Single Precision Score
2812
Half Precision Score
13472
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | turpotle |
| Upload Date | July 31 2025 09:15 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X870-PLUS WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5736
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
856
159.2 IPS |
|
|
Image Classification (Q)
|
99% |
12774
2.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2308
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1252
20.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
20309
330.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
23675
27.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
16308
19.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
80505
94.4 IPS |
|
|
Object Detection (SP)
|
100% |
6023
477.8 IPS |
|
|
Object Detection (HP)
|
100% |
1106
87.8 IPS |
|
|
Object Detection (Q)
|
86% |
14521
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
9540
113.4 IPS |
|
|
Face Detection (HP)
|
100% |
2092
24.9 IPS |
|
|
Face Detection (Q)
|
97% |
14972
178.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17590
135.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4010
30.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
30563
243.9 IPS |
|
|
Style Transfer (SP)
|
100% |
44369
57.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36908
47.4 IPS |
|
|
Style Transfer (Q)
|
98% |
51211
66.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4350
160.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3902
144.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3148
116.6 IPS |
|
|
Text Classification (SP)
|
100% |
2196
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
1023
1.37 KIPS |
|
|
Text Classification (Q)
|
97% |
1945
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3732
64.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1295
22.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4528
91.0 IPS |
