ASUS System Product Name
Geekbench AI Score
6835
Single Precision Score
6735
Half Precision Score
17147
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | ands84 |
| Upload Date | August 22 2025 01:47 PM |
| Views | 4 |
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. 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% |
4272
794.4 IPS |
|
|
Image Classification (HP)
|
100% |
4163
774.2 IPS |
|
|
Image Classification (Q)
|
100% |
10753
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4754
77.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4553
73.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
12079
195.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7639
8.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
7630
8.90 IPS |
|
|
Pose Estimation (Q)
|
98% |
30750
36.0 IPS |
|
|
Object Detection (SP)
|
100% |
4051
321.3 IPS |
|
|
Object Detection (HP)
|
100% |
4171
330.8 IPS |
|
|
Object Detection (Q)
|
88% |
11414
914.9 IPS |
|
|
Face Detection (SP)
|
100% |
13375
158.9 IPS |
|
|
Face Detection (HP)
|
100% |
13478
160.1 IPS |
|
|
Face Detection (Q)
|
100% |
28957
344.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10522
81.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
10262
79.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
31099
242.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21332
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21380
27.5 IPS |
|
|
Style Transfer (Q)
|
98% |
78995
101.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4680
172.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4660
172.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15127
560.2 IPS |
|
|
Text Classification (SP)
|
100% |
3689
4.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3680
4.91 KIPS |
|
|
Text Classification (Q)
|
92% |
5335
7.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
6832
117.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6286
108.3 IPS |
|
|
Machine Translation (Q)
|
100% |
8400
144.7 IPS |
