ASUS System Product Name
Geekbench AI Score
15131
Single Precision Score
15140
Half Precision Score
33613
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | November 19 2024 08:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-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 | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9616
1.79 KIPS |
|
|
Image Classification (HP)
|
100% |
9549
1.78 KIPS |
|
|
Image Classification (Q)
|
100% |
19839
3.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9368
151.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9380
152.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
20370
330.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
19426
22.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19417
22.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
76204
89.2 IPS |
|
|
Object Detection (SP)
|
100% |
9891
784.6 IPS |
|
|
Object Detection (HP)
|
100% |
9916
786.6 IPS |
|
|
Object Detection (Q)
|
88% |
22539
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
30142
358.2 IPS |
|
|
Face Detection (HP)
|
100% |
29908
355.4 IPS |
|
|
Face Detection (Q)
|
100% |
55697
661.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
25767
198.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
25841
199.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
66549
517.8 IPS |
|
|
Style Transfer (SP)
|
100% |
54855
70.5 IPS |
|
|
Style Transfer (HP)
|
100% |
54909
70.6 IPS |
|
|
Style Transfer (Q)
|
98% |
191823
247.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12057
445.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11947
441.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34953
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
7190
9.60 KIPS |
|
|
Text Classification (HP)
|
100% |
7228
9.65 KIPS |
|
|
Text Classification (Q)
|
92% |
9394
12.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
9840
169.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10018
172.6 IPS |
|
|
Machine Translation (Q)
|
100% |
11365
195.8 IPS |
