ASUS System Product Name
Geekbench AI Score
3722
Single Precision Score
1690
Half Precision Score
8704
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | ands84 |
| Upload Date | August 22 2025 01:39 PM |
| Views | 3 |
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. TUF GAMING X670E-PLUS 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2811
522.7 IPS |
|
|
Image Classification (HP)
|
100% |
652
121.3 IPS |
|
|
Image Classification (Q)
|
99% |
8068
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1967
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
887
14.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
10242
166.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4991
5.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
4509
5.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
21190
24.8 IPS |
|
|
Object Detection (SP)
|
100% |
2634
208.9 IPS |
|
|
Object Detection (HP)
|
100% |
810
64.2 IPS |
|
|
Object Detection (Q)
|
86% |
8142
654.3 IPS |
|
|
Face Detection (SP)
|
100% |
7684
91.3 IPS |
|
|
Face Detection (HP)
|
100% |
1953
23.2 IPS |
|
|
Face Detection (Q)
|
97% |
10317
123.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6992
53.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2451
18.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
18060
144.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12928
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11043
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
28436
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1987
73.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1929
71.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5352
198.2 IPS |
|
|
Text Classification (SP)
|
100% |
1741
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
881
1.18 KIPS |
|
|
Text Classification (Q)
|
97% |
1556
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2922
50.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1007
17.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3971
79.8 IPS |
