ASUS System Product Name
Geekbench AI Score
15251
Single Precision Score
15366
Half Precision Score
33913
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | December 15 2024 02:37 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (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 |
| 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% |
7321
1.36 KIPS |
|
|
Image Classification (HP)
|
100% |
7495
1.39 KIPS |
|
|
Image Classification (Q)
|
100% |
16888
3.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9364
151.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10387
168.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19671
318.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
33575
39.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
33531
39.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
133711
156.5 IPS |
|
|
Object Detection (SP)
|
100% |
8938
709.0 IPS |
|
|
Object Detection (HP)
|
100% |
9294
737.2 IPS |
|
|
Object Detection (Q)
|
88% |
19880
1.59 KIPS |
|
|
Face Detection (SP)
|
100% |
21600
256.7 IPS |
|
|
Face Detection (HP)
|
100% |
20970
249.2 IPS |
|
|
Face Detection (Q)
|
100% |
52640
625.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
25712
198.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
26239
202.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
69128
537.9 IPS |
|
|
Style Transfer (SP)
|
100% |
88595
113.9 IPS |
|
|
Style Transfer (HP)
|
100% |
87982
113.1 IPS |
|
|
Style Transfer (Q)
|
98% |
308795
398.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15798
583.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15360
567.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41531
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
5429
7.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5328
7.11 KIPS |
|
|
Text Classification (Q)
|
92% |
6639
8.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
7843
135.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7637
131.6 IPS |
|
|
Machine Translation (Q)
|
100% |
7356
126.7 IPS |
