ASUS System Product Name
Geekbench AI Score
6604
Single Precision Score
1451
Half Precision Score
9045
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Fasttrack |
| Upload Date | November 27 2024 09:36 PM |
| Views | 2 |
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 CROSSHAIR X870E HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 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% |
2785
517.8 IPS |
|
|
Image Classification (HP)
|
100% |
220
40.9 IPS |
|
|
Image Classification (Q)
|
99% |
6480
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2924
47.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
384
6.23 IPS |
|
|
Image Segmentation (Q)
|
98% |
4941
80.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
29924
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
16602
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
84873
99.5 IPS |
|
|
Object Detection (SP)
|
100% |
3925
311.3 IPS |
|
|
Object Detection (HP)
|
100% |
310
24.6 IPS |
|
|
Object Detection (Q)
|
88% |
3392
271.9 IPS |
|
|
Face Detection (SP)
|
100% |
5140
61.1 IPS |
|
|
Face Detection (HP)
|
100% |
477
5.67 IPS |
|
|
Face Detection (Q)
|
97% |
7368
87.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13499
104.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1594
12.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
18247
147.0 IPS |
|
|
Style Transfer (SP)
|
100% |
51133
65.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36427
46.8 IPS |
|
|
Style Transfer (Q)
|
98% |
53690
69.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5226
193.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4131
152.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6645
246.1 IPS |
|
|
Text Classification (SP)
|
100% |
2106
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
947
1.26 KIPS |
|
|
Text Classification (Q)
|
97% |
2003
2.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
4229
72.8 IPS |
|
|
Machine Translation (HP)
|
100% |
880
15.2 IPS |
|
|
Machine Translation (Q)
|
60% |
4141
92.4 IPS |
