Comal - Windows Gaming PC ASUS System Product Name
Geekbench AI Score
3321
Single Precision Score
1454
Half Precision Score
7493
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | nugget |
| Upload Date | March 04 2026 05:21 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X670E-E GAMING WIFI |
| Power Plan | High performance |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2238
416.3 IPS |
|
|
Image Classification (HP)
|
100% |
518
96.3 IPS |
|
|
Image Classification (Q)
|
99% |
6467
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1707
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
749
12.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7448
121.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4731
5.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
4122
4.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
18399
21.6 IPS |
|
|
Object Detection (SP)
|
100% |
2161
171.4 IPS |
|
|
Object Detection (HP)
|
100% |
625
49.6 IPS |
|
|
Object Detection (Q)
|
86% |
6421
516.0 IPS |
|
|
Face Detection (SP)
|
100% |
6829
81.1 IPS |
|
|
Face Detection (HP)
|
100% |
1510
17.9 IPS |
|
|
Face Detection (Q)
|
97% |
9697
115.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5927
45.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1997
15.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
14515
115.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11963
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10240
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
25137
32.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2065
76.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1879
69.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5163
191.2 IPS |
|
|
Text Classification (SP)
|
100% |
1523
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
760
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1411
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2750
47.4 IPS |
|
|
Machine Translation (HP)
|
100% |
963
16.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3804
76.4 IPS |
