ASUS System Product Name
Geekbench AI Score
15570
Single Precision Score
15578
Half Precision Score
35068
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | purity174 |
| Upload Date | June 22 2025 11:28 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E APEX |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.45 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9739
1.81 KIPS |
|
|
Image Classification (HP)
|
100% |
9754
1.81 KIPS |
|
|
Image Classification (Q)
|
100% |
19644
3.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10375
168.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10428
169.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24909
403.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
19072
22.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19067
22.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
75530
88.4 IPS |
|
|
Object Detection (SP)
|
100% |
9887
784.2 IPS |
|
|
Object Detection (HP)
|
100% |
9854
781.6 IPS |
|
|
Object Detection (Q)
|
88% |
22062
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
30793
365.9 IPS |
|
|
Face Detection (HP)
|
100% |
30770
365.6 IPS |
|
|
Face Detection (Q)
|
100% |
60326
716.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
26052
200.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
25956
200.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
65573
510.2 IPS |
|
|
Style Transfer (SP)
|
100% |
53855
69.2 IPS |
|
|
Style Transfer (HP)
|
100% |
53369
68.6 IPS |
|
|
Style Transfer (Q)
|
98% |
187707
242.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11872
438.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11870
438.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34570
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
7403
9.88 KIPS |
|
|
Text Classification (HP)
|
100% |
7462
9.96 KIPS |
|
|
Text Classification (Q)
|
92% |
9861
13.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
11574
199.4 IPS |
|
|
Machine Translation (HP)
|
100% |
11669
201.0 IPS |
|
|
Machine Translation (Q)
|
100% |
13628
234.8 IPS |
