ASUS System Product Name
Geekbench AI Score
7185
Single Precision Score
2605
Half Precision Score
13059
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 23 2025 03:06 AM |
| Views | 2 |
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 B850M-PLUS 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5216
970.0 IPS |
|
|
Image Classification (HP)
|
100% |
813
151.1 IPS |
|
|
Image Classification (Q)
|
99% |
12480
2.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2593
42.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1311
21.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5329
86.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
20317
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
13320
15.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
80866
94.8 IPS |
|
|
Object Detection (SP)
|
100% |
5268
417.9 IPS |
|
|
Object Detection (HP)
|
100% |
1038
82.3 IPS |
|
|
Object Detection (Q)
|
86% |
14976
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
9725
115.5 IPS |
|
|
Face Detection (HP)
|
100% |
2390
28.4 IPS |
|
|
Face Detection (Q)
|
97% |
15806
188.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17294
133.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3964
30.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
32216
257.1 IPS |
|
|
Style Transfer (SP)
|
100% |
37836
48.6 IPS |
|
|
Style Transfer (HP)
|
100% |
30468
39.2 IPS |
|
|
Style Transfer (Q)
|
98% |
51388
66.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4500
166.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3321
122.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6046
223.9 IPS |
|
|
Text Classification (SP)
|
100% |
2369
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
980
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
2027
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3734
64.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1043
18.0 IPS |
|
|
Machine Translation (Q)
|
65% |
5587
112.3 IPS |
