ASUS System Product Name
Geekbench AI Score
3899
Single Precision Score
1700
Half Precision Score
8966
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | October 20 2025 03:57 PM |
| Views | 2 |
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 B650E-PLUS WIFI |
| Power Plan | Balanced |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3199
594.9 IPS |
|
|
Image Classification (HP)
|
100% |
668
124.3 IPS |
|
|
Image Classification (Q)
|
99% |
8096
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2013
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
895
14.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
10512
170.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5224
6.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
4373
5.10 IPS |
|
|
Pose Estimation (Q)
|
94% |
22225
26.1 IPS |
|
|
Object Detection (SP)
|
100% |
2550
202.3 IPS |
|
|
Object Detection (HP)
|
100% |
806
63.9 IPS |
|
|
Object Detection (Q)
|
86% |
8137
653.9 IPS |
|
|
Face Detection (SP)
|
100% |
7968
94.7 IPS |
|
|
Face Detection (HP)
|
100% |
1839
21.9 IPS |
|
|
Face Detection (Q)
|
97% |
10304
122.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6494
50.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2299
17.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
16984
135.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13248
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10556
13.6 IPS |
|
|
Style Transfer (Q)
|
98% |
26765
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2227
82.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2172
80.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6108
226.2 IPS |
|
|
Text Classification (SP)
|
100% |
1998
2.67 KIPS |
|
|
Text Classification (HP)
|
100% |
947
1.26 KIPS |
|
|
Text Classification (Q)
|
97% |
1764
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3107
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1043
18.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4327
86.9 IPS |
