ASUS System Product Name
Geekbench AI Score
6967
Single Precision Score
6961
Half Precision Score
17966
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 11 2025 11:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650-A 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4397
817.6 IPS |
|
|
Image Classification (HP)
|
100% |
4341
807.4 IPS |
|
|
Image Classification (Q)
|
100% |
11765
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5005
81.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4937
80.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
13456
218.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7618
8.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
7516
8.77 IPS |
|
|
Pose Estimation (Q)
|
98% |
31238
36.6 IPS |
|
|
Object Detection (SP)
|
100% |
4229
335.4 IPS |
|
|
Object Detection (HP)
|
100% |
4275
339.1 IPS |
|
|
Object Detection (Q)
|
88% |
11683
936.5 IPS |
|
|
Face Detection (SP)
|
100% |
13172
156.5 IPS |
|
|
Face Detection (HP)
|
100% |
13482
160.2 IPS |
|
|
Face Detection (Q)
|
100% |
31379
372.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10609
81.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
10557
81.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
33439
260.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21487
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
21447
27.6 IPS |
|
|
Style Transfer (Q)
|
98% |
78640
101.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4832
178.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4871
179.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13814
511.6 IPS |
|
|
Text Classification (SP)
|
100% |
3772
5.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3911
5.22 KIPS |
|
|
Text Classification (Q)
|
92% |
5809
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
6946
119.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6675
115.0 IPS |
|
|
Machine Translation (Q)
|
100% |
9161
157.8 IPS |
