ASUS System Product Name
Geekbench AI Score
8883
Single Precision Score
3004
Half Precision Score
14691
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | bagaget |
| Upload Date | May 30 2025 03:05 PM |
| Views | 5 |
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 CROSSHAIR X670E GENE |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5579
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
922
171.4 IPS |
|
|
Image Classification (Q)
|
99% |
13725
2.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3402
55.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1491
24.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5881
95.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
30468
35.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17376
20.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
88159
103.4 IPS |
|
|
Object Detection (SP)
|
100% |
6005
476.3 IPS |
|
|
Object Detection (HP)
|
100% |
1174
93.1 IPS |
|
|
Object Detection (Q)
|
86% |
15753
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
11685
138.8 IPS |
|
|
Face Detection (HP)
|
100% |
2717
32.3 IPS |
|
|
Face Detection (Q)
|
97% |
16878
201.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
22298
171.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4488
34.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
36547
291.6 IPS |
|
|
Style Transfer (SP)
|
100% |
51951
66.8 IPS |
|
|
Style Transfer (HP)
|
100% |
39773
51.1 IPS |
|
|
Style Transfer (Q)
|
98% |
60683
78.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5269
194.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3711
137.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6923
256.3 IPS |
|
|
Text Classification (SP)
|
100% |
2462
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
1007
1.34 KIPS |
|
|
Text Classification (Q)
|
97% |
2234
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
5022
86.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1181
20.3 IPS |
|
|
Machine Translation (Q)
|
65% |
7221
145.1 IPS |
