ASUS System Product Name
Geekbench AI Score
15378
Single Precision Score
15389
Half Precision Score
34244
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | November 19 2024 09:10 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% |
9704
1.80 KIPS |
|
|
Image Classification (HP)
|
100% |
9756
1.81 KIPS |
|
|
Image Classification (Q)
|
100% |
20225
3.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9560
155.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9558
154.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
20662
334.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
19818
23.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
19806
23.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
76996
90.1 IPS |
|
|
Object Detection (SP)
|
100% |
9979
791.5 IPS |
|
|
Object Detection (HP)
|
100% |
10049
797.1 IPS |
|
|
Object Detection (Q)
|
88% |
23143
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
30394
361.2 IPS |
|
|
Face Detection (HP)
|
100% |
30445
361.8 IPS |
|
|
Face Detection (Q)
|
100% |
56877
675.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
26281
202.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
26383
203.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
67985
529.0 IPS |
|
|
Style Transfer (SP)
|
100% |
55751
71.7 IPS |
|
|
Style Transfer (HP)
|
100% |
55789
71.7 IPS |
|
|
Style Transfer (Q)
|
98% |
195357
251.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12220
451.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12163
449.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35689
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
7280
9.72 KIPS |
|
|
Text Classification (HP)
|
100% |
7244
9.67 KIPS |
|
|
Text Classification (Q)
|
92% |
9548
12.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
10181
175.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10169
175.2 IPS |
|
|
Machine Translation (Q)
|
100% |
11569
199.3 IPS |
