ASUS System Product Name
Geekbench AI Score
6283
Single Precision Score
2579
Half Precision Score
10884
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ongoliard |
| Upload Date | June 13 2025 02:13 PM |
| Views | 4 |
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. ROG STRIX X870E-E GAMING WIFI |
| Power Plan | Balanced |
| 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% |
4357
810.3 IPS |
|
|
Image Classification (HP)
|
100% |
793
147.5 IPS |
|
|
Image Classification (Q)
|
99% |
10770
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1385
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1330
21.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5089
82.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
24043
28.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
14902
17.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
67644
79.3 IPS |
|
|
Object Detection (SP)
|
100% |
4061
322.1 IPS |
|
|
Object Detection (HP)
|
100% |
1053
83.5 IPS |
|
|
Object Detection (Q)
|
86% |
11140
895.3 IPS |
|
|
Face Detection (SP)
|
100% |
7114
84.5 IPS |
|
|
Face Detection (HP)
|
100% |
2366
28.1 IPS |
|
|
Face Detection (Q)
|
97% |
14187
169.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16127
124.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3961
30.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
25538
203.8 IPS |
|
|
Style Transfer (SP)
|
100% |
44108
56.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33419
43.0 IPS |
|
|
Style Transfer (Q)
|
98% |
32895
42.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4637
171.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3348
123.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5516
204.3 IPS |
|
|
Text Classification (SP)
|
100% |
2153
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
890
1.19 KIPS |
|
|
Text Classification (Q)
|
97% |
2020
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3223
55.5 IPS |
|
|
Machine Translation (HP)
|
100% |
846
14.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4257
85.5 IPS |
