ASUS System Product Name
Geekbench AI Score
6812
Single Precision Score
2560
Half Precision Score
12502
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Makurin |
| Upload Date | January 26 2025 08:25 PM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| Power Plan | GameTurbo (High Performance) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4927
916.2 IPS |
|
|
Image Classification (HP)
|
100% |
829
154.2 IPS |
|
|
Image Classification (Q)
|
99% |
12719
2.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2750
44.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1354
21.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5319
86.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17052
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
12685
14.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
72482
85.0 IPS |
|
|
Object Detection (SP)
|
100% |
5198
412.3 IPS |
|
|
Object Detection (HP)
|
100% |
1021
81.0 IPS |
|
|
Object Detection (Q)
|
86% |
14743
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
10112
120.2 IPS |
|
|
Face Detection (HP)
|
100% |
2351
27.9 IPS |
|
|
Face Detection (Q)
|
97% |
15206
181.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16068
123.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3648
28.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
30191
240.9 IPS |
|
|
Style Transfer (SP)
|
100% |
34176
43.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29098
37.4 IPS |
|
|
Style Transfer (Q)
|
98% |
51396
66.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4131
152.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3565
131.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5944
220.1 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
979
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
2049
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3400
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
957
16.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4491
90.3 IPS |
