ASUS System Product Name
Geekbench AI Score
15556
Single Precision Score
15544
Half Precision Score
34685
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | November 19 2024 09:16 PM |
| Views | 3 |
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% |
9885
1.84 KIPS |
|
|
Image Classification (HP)
|
100% |
9900
1.84 KIPS |
|
|
Image Classification (Q)
|
100% |
20524
3.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9662
156.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9666
156.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
20938
339.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
20039
23.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19993
23.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
78554
92.0 IPS |
|
|
Object Detection (SP)
|
100% |
10106
801.7 IPS |
|
|
Object Detection (HP)
|
100% |
10142
804.5 IPS |
|
|
Object Detection (Q)
|
88% |
23434
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
30277
359.8 IPS |
|
|
Face Detection (HP)
|
100% |
30251
359.4 IPS |
|
|
Face Detection (Q)
|
100% |
57630
684.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
26555
204.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
26801
206.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
68913
536.2 IPS |
|
|
Style Transfer (SP)
|
100% |
56570
72.7 IPS |
|
|
Style Transfer (HP)
|
100% |
56525
72.7 IPS |
|
|
Style Transfer (Q)
|
98% |
198331
255.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12407
458.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12295
454.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35984
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
7402
9.88 KIPS |
|
|
Text Classification (HP)
|
100% |
7365
9.83 KIPS |
|
|
Text Classification (Q)
|
92% |
9653
13.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
10275
177.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10227
176.2 IPS |
|
|
Machine Translation (Q)
|
100% |
11647
200.6 IPS |
