ASUS System Product Name
Geekbench AI Score
15510
Single Precision Score
15476
Half Precision Score
34520
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | November 19 2024 09:14 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% |
9861
1.83 KIPS |
|
|
Image Classification (HP)
|
100% |
9759
1.81 KIPS |
|
|
Image Classification (Q)
|
100% |
20489
3.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9662
156.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9660
156.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
20888
338.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
19960
23.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19939
23.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
78215
91.6 IPS |
|
|
Object Detection (SP)
|
100% |
10102
801.3 IPS |
|
|
Object Detection (HP)
|
100% |
10098
801.0 IPS |
|
|
Object Detection (Q)
|
88% |
23161
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
30572
363.3 IPS |
|
|
Face Detection (HP)
|
100% |
30379
361.0 IPS |
|
|
Face Detection (Q)
|
100% |
57252
680.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
26452
203.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
26379
203.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
68363
531.9 IPS |
|
|
Style Transfer (SP)
|
100% |
56321
72.4 IPS |
|
|
Style Transfer (HP)
|
100% |
56286
72.4 IPS |
|
|
Style Transfer (Q)
|
98% |
197121
254.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12242
452.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12214
451.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35904
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
7356
9.82 KIPS |
|
|
Text Classification (HP)
|
100% |
7341
9.80 KIPS |
|
|
Text Classification (Q)
|
92% |
9629
12.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
10229
176.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10273
177.0 IPS |
|
|
Machine Translation (Q)
|
100% |
11622
200.2 IPS |
