ASUS System Product Name
Geekbench AI Score
15358
Single Precision Score
15364
Half Precision Score
34164
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | November 19 2024 09:07 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% |
9716
1.81 KIPS |
|
|
Image Classification (HP)
|
100% |
9759
1.81 KIPS |
|
|
Image Classification (Q)
|
100% |
20175
3.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9519
154.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9520
154.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
20657
334.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
19726
23.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
19700
23.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
77515
90.7 IPS |
|
|
Object Detection (SP)
|
100% |
10082
799.7 IPS |
|
|
Object Detection (HP)
|
100% |
10028
795.4 IPS |
|
|
Object Detection (Q)
|
88% |
22916
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
30432
361.6 IPS |
|
|
Face Detection (HP)
|
100% |
30395
361.2 IPS |
|
|
Face Detection (Q)
|
100% |
56826
675.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
26721
205.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
26439
203.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
67644
526.3 IPS |
|
|
Style Transfer (SP)
|
100% |
55013
70.7 IPS |
|
|
Style Transfer (HP)
|
100% |
55496
71.3 IPS |
|
|
Style Transfer (Q)
|
98% |
195078
251.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12203
450.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12232
451.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35503
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
7240
9.66 KIPS |
|
|
Text Classification (HP)
|
100% |
7228
9.65 KIPS |
|
|
Text Classification (Q)
|
92% |
9503
12.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
10047
173.1 IPS |
|
|
Machine Translation (HP)
|
100% |
10130
174.5 IPS |
|
|
Machine Translation (Q)
|
100% |
11568
199.3 IPS |
