ASUS System Product Name
Geekbench AI Score
15041
Single Precision Score
14917
Half Precision Score
33028
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | NeilB |
| Upload Date | September 24 2024 07:25 AM |
| Views | 18 |
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 | 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% |
7043
1.31 KIPS |
|
|
Image Classification (HP)
|
100% |
7170
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
15649
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9545
154.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9644
156.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
18940
307.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
33750
39.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
33688
39.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
135847
159.0 IPS |
|
|
Object Detection (SP)
|
100% |
9121
723.5 IPS |
|
|
Object Detection (HP)
|
100% |
8775
696.1 IPS |
|
|
Object Detection (Q)
|
88% |
19427
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
20993
249.4 IPS |
|
|
Face Detection (HP)
|
100% |
20990
249.4 IPS |
|
|
Face Detection (Q)
|
100% |
50333
598.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
25477
196.3 IPS |
|
|
Depth Estimation (HP)
|
100% |
25630
197.5 IPS |
|
|
Depth Estimation (Q)
|
80% |
69973
554.5 IPS |
|
|
Style Transfer (SP)
|
100% |
87303
112.2 IPS |
|
|
Style Transfer (HP)
|
100% |
86565
111.3 IPS |
|
|
Style Transfer (Q)
|
98% |
307642
396.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15659
578.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15355
567.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39824
1.47 KIPS |
|
|
Text Classification (SP)
|
100% |
5094
6.80 KIPS |
|
|
Text Classification (HP)
|
100% |
4938
6.59 KIPS |
|
|
Text Classification (Q)
|
92% |
6196
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
7693
132.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7559
130.2 IPS |
|
|
Machine Translation (Q)
|
85% |
7387
129.1 IPS |
