ASUS System Product Name
Geekbench AI Score
13345
Single Precision Score
13558
Half Precision Score
29521
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | audigy |
| Upload Date | August 15 2024 05:38 PM |
| Views | 62 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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 X670E GENE |
| Power Plan | 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6479
1.20 KIPS |
|
|
Image Classification (HP)
|
100% |
6986
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
14724
2.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8386
135.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8237
133.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
15678
254.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
31754
37.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31985
37.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
124929
146.3 IPS |
|
|
Object Detection (SP)
|
100% |
7753
615.0 IPS |
|
|
Object Detection (HP)
|
100% |
7963
631.6 IPS |
|
|
Object Detection (Q)
|
88% |
18043
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
16854
200.3 IPS |
|
|
Face Detection (HP)
|
100% |
18098
215.0 IPS |
|
|
Face Detection (Q)
|
100% |
41650
494.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
23827
183.6 IPS |
|
|
Depth Estimation (HP)
|
100% |
22730
175.1 IPS |
|
|
Depth Estimation (Q)
|
80% |
60627
480.5 IPS |
|
|
Style Transfer (SP)
|
100% |
76428
98.2 IPS |
|
|
Style Transfer (HP)
|
100% |
79721
102.5 IPS |
|
|
Style Transfer (Q)
|
98% |
280333
361.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13721
506.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13854
511.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36307
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
4905
6.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5039
6.73 KIPS |
|
|
Text Classification (Q)
|
92% |
6050
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
6486
111.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6256
107.8 IPS |
|
|
Machine Translation (Q)
|
85% |
6214
108.6 IPS |
