ASUS System Product Name
Geekbench AI Score
6525
Single Precision Score
2441
Half Precision Score
12283
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | HdwJunkie |
| Upload Date | March 24 2025 01:32 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X870-P WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| 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% |
4799
892.4 IPS |
|
|
Image Classification (HP)
|
100% |
759
141.1 IPS |
|
|
Image Classification (Q)
|
99% |
11996
2.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2292
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1230
19.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5057
82.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16595
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
11982
14.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
68294
80.1 IPS |
|
|
Object Detection (SP)
|
100% |
5101
404.6 IPS |
|
|
Object Detection (HP)
|
100% |
994
78.9 IPS |
|
|
Object Detection (Q)
|
86% |
14461
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
10016
119.0 IPS |
|
|
Face Detection (HP)
|
100% |
2215
26.3 IPS |
|
|
Face Detection (Q)
|
97% |
15381
183.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14843
114.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3830
29.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
28671
228.8 IPS |
|
|
Style Transfer (SP)
|
100% |
31429
40.4 IPS |
|
|
Style Transfer (HP)
|
100% |
27593
35.5 IPS |
|
|
Style Transfer (Q)
|
98% |
48064
62.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3982
147.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3419
126.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6097
225.8 IPS |
|
|
Text Classification (SP)
|
100% |
2206
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
919
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
1889
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3664
63.1 IPS |
|
|
Machine Translation (HP)
|
100% |
922
15.9 IPS |
|
|
Machine Translation (Q)
|
65% |
5346
107.4 IPS |
