ASUS System Product Name
Geekbench AI Score
7375
Single Precision Score
2687
Half Precision Score
13050
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 08 2025 08:16 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650-PLUS WIFI |
| Power Plan | Gebalanceerd |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5213
969.5 IPS |
|
|
Image Classification (HP)
|
100% |
834
155.1 IPS |
|
|
Image Classification (Q)
|
99% |
12414
2.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2903
47.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1383
22.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5362
87.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
22560
26.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
14417
16.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
77791
91.2 IPS |
|
|
Object Detection (SP)
|
100% |
5284
419.1 IPS |
|
|
Object Detection (HP)
|
100% |
1053
83.5 IPS |
|
|
Object Detection (Q)
|
86% |
15232
1.22 KIPS |
|
|
Face Detection (SP)
|
100% |
9936
118.1 IPS |
|
|
Face Detection (HP)
|
100% |
2390
28.4 IPS |
|
|
Face Detection (Q)
|
97% |
15970
190.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18506
142.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3887
29.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
33564
267.8 IPS |
|
|
Style Transfer (SP)
|
100% |
35641
45.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35423
45.5 IPS |
|
|
Style Transfer (Q)
|
98% |
49931
64.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4536
167.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3447
127.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6291
232.9 IPS |
|
|
Text Classification (SP)
|
100% |
2339
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
954
1.27 KIPS |
|
|
Text Classification (Q)
|
97% |
2024
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3799
65.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1039
17.9 IPS |
|
|
Machine Translation (Q)
|
65% |
5330
107.1 IPS |
