ASUS System Product Name
Geekbench AI Score
8223
Single Precision Score
2811
Half Precision Score
13639
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 05 2025 08:33 AM |
| Views | 1 |
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. ROG STRIX X870E-E GAMING WIFI |
| Power Plan | Bilanciato |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5191
965.3 IPS |
|
|
Image Classification (HP)
|
100% |
851
158.3 IPS |
|
|
Image Classification (Q)
|
99% |
13223
2.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3190
51.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1411
22.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5252
85.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
27765
32.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16362
19.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
84108
98.6 IPS |
|
|
Object Detection (SP)
|
100% |
5796
459.8 IPS |
|
|
Object Detection (HP)
|
100% |
1087
86.2 IPS |
|
|
Object Detection (Q)
|
86% |
15068
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
10708
127.2 IPS |
|
|
Face Detection (HP)
|
100% |
2550
30.3 IPS |
|
|
Face Detection (Q)
|
97% |
15596
186.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
19222
148.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4219
32.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
34957
278.9 IPS |
|
|
Style Transfer (SP)
|
100% |
51075
65.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35800
46.0 IPS |
|
|
Style Transfer (Q)
|
98% |
51839
66.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4880
180.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3610
133.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6527
241.7 IPS |
|
|
Text Classification (SP)
|
100% |
2359
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
966
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
2054
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4386
75.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1074
18.5 IPS |
|
|
Machine Translation (Q)
|
65% |
6681
134.2 IPS |
