ASUS System Product Name
Geekbench AI Score
15377
Single Precision Score
15349
Half Precision Score
34388
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | November 19 2024 09:12 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% |
9820
1.83 KIPS |
|
|
Image Classification (HP)
|
100% |
9792
1.82 KIPS |
|
|
Image Classification (Q)
|
100% |
20285
3.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9633
156.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9577
155.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
20758
336.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
19888
23.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19835
23.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
77315
90.5 IPS |
|
|
Object Detection (SP)
|
100% |
10078
799.4 IPS |
|
|
Object Detection (HP)
|
100% |
10142
804.5 IPS |
|
|
Object Detection (Q)
|
88% |
23299
1.87 KIPS |
|
|
Face Detection (SP)
|
100% |
30892
367.1 IPS |
|
|
Face Detection (HP)
|
100% |
30574
363.3 IPS |
|
|
Face Detection (Q)
|
100% |
57352
681.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
26348
203.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
26274
202.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
68410
532.3 IPS |
|
|
Style Transfer (SP)
|
100% |
56010
72.0 IPS |
|
|
Style Transfer (HP)
|
100% |
56066
72.1 IPS |
|
|
Style Transfer (Q)
|
98% |
196345
253.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12213
451.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12178
449.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35838
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
6907
9.22 KIPS |
|
|
Text Classification (HP)
|
100% |
6926
9.24 KIPS |
|
|
Text Classification (Q)
|
92% |
9502
12.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
10142
174.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10129
174.5 IPS |
|
|
Machine Translation (Q)
|
100% |
11624
200.2 IPS |
