Jane (9950X3D) ASUS System Product Name
Geekbench AI Score
1942
Single Precision Score
2076
Half Precision Score
1594
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | BeanBagKing |
| Upload Date | April 15 2025 12:31 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI |
| Power Plan | Balanced |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
673
125.2 IPS |
|
|
Image Classification (HP)
|
100% |
647
120.3 IPS |
|
|
Image Classification (Q)
|
100% |
669
124.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1128
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
635
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
993
16.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6450
7.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
10593
12.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
5823
6.82 IPS |
|
|
Object Detection (SP)
|
100% |
725
57.5 IPS |
|
|
Object Detection (HP)
|
100% |
669
53.1 IPS |
|
|
Object Detection (Q)
|
87% |
687
55.2 IPS |
|
|
Face Detection (SP)
|
100% |
2065
24.5 IPS |
|
|
Face Detection (HP)
|
100% |
2099
24.9 IPS |
|
|
Face Detection (Q)
|
97% |
1942
23.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3722
28.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4419
34.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
3237
26.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11231
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
16356
21.0 IPS |
|
|
Style Transfer (Q)
|
98% |
9900
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2822
104.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3738
138.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2132
78.9 IPS |
|
|
Text Classification (SP)
|
100% |
722
963.3 IPS |
|
|
Text Classification (HP)
|
100% |
775
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
505
675.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1222
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1164
20.0 IPS |
|
|
Machine Translation (Q)
|
70% |
596
11.2 IPS |
