ASUS System Product Name
Geekbench AI Score
3684
Single Precision Score
1680
Half Precision Score
9001
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | November 19 2025 09:00 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B850-PLUS WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2674
497.3 IPS |
|
|
Image Classification (HP)
|
100% |
631
117.4 IPS |
|
|
Image Classification (Q)
|
99% |
7364
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1872
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
902
14.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
9589
155.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4917
5.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
4316
5.04 IPS |
|
|
Pose Estimation (Q)
|
94% |
23022
27.0 IPS |
|
|
Object Detection (SP)
|
100% |
2403
190.6 IPS |
|
|
Object Detection (HP)
|
100% |
772
61.2 IPS |
|
|
Object Detection (Q)
|
86% |
7983
641.5 IPS |
|
|
Face Detection (SP)
|
100% |
7268
86.4 IPS |
|
|
Face Detection (HP)
|
100% |
1745
20.7 IPS |
|
|
Face Detection (Q)
|
97% |
10314
123.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7039
54.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2401
18.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
17907
142.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12255
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10577
13.6 IPS |
|
|
Style Transfer (Q)
|
98% |
30701
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2215
81.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2092
77.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6216
230.2 IPS |
|
|
Text Classification (SP)
|
100% |
1813
2.42 KIPS |
|
|
Text Classification (HP)
|
100% |
955
1.27 KIPS |
|
|
Text Classification (Q)
|
97% |
1735
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3093
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1073
18.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4401
88.4 IPS |
