ASUS System Product Name
Geekbench AI Score
15257
Single Precision Score
15259
Half Precision Score
33914
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | November 19 2024 09:01 PM |
| Views | 4 |
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% |
9698
1.80 KIPS |
|
|
Image Classification (HP)
|
100% |
9677
1.80 KIPS |
|
|
Image Classification (Q)
|
100% |
20138
3.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9484
153.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9438
153.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
20724
336.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
19537
22.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19648
22.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
76248
89.3 IPS |
|
|
Object Detection (SP)
|
100% |
9983
791.9 IPS |
|
|
Object Detection (HP)
|
100% |
10010
794.0 IPS |
|
|
Object Detection (Q)
|
88% |
22840
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
30443
361.7 IPS |
|
|
Face Detection (HP)
|
100% |
30310
360.1 IPS |
|
|
Face Detection (Q)
|
100% |
55955
664.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
25986
200.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
26031
200.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
67510
525.3 IPS |
|
|
Style Transfer (SP)
|
100% |
55329
71.1 IPS |
|
|
Style Transfer (HP)
|
100% |
55317
71.1 IPS |
|
|
Style Transfer (Q)
|
98% |
193961
250.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12167
449.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12018
443.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35499
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
7203
9.61 KIPS |
|
|
Text Classification (HP)
|
100% |
7192
9.60 KIPS |
|
|
Text Classification (Q)
|
92% |
9478
12.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
9935
171.1 IPS |
|
|
Machine Translation (HP)
|
100% |
10103
174.0 IPS |
|
|
Machine Translation (Q)
|
100% |
11234
193.5 IPS |
