ASUS System Product Name
Geekbench AI Score
5977
Single Precision Score
2471
Half Precision Score
12803
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Morgulio |
| Upload Date | August 25 2025 10:44 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-I GAMING WIFI |
| Power Plan | GameTurbo (High Performance) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4650
864.8 IPS |
|
|
Image Classification (HP)
|
100% |
962
179.0 IPS |
|
|
Image Classification (Q)
|
99% |
11987
2.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2219
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1476
23.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
15089
245.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8266
9.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
6410
7.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
34527
40.5 IPS |
|
|
Object Detection (SP)
|
100% |
4865
385.9 IPS |
|
|
Object Detection (HP)
|
100% |
1106
87.7 IPS |
|
|
Object Detection (Q)
|
86% |
12041
967.7 IPS |
|
|
Face Detection (SP)
|
100% |
12600
149.7 IPS |
|
|
Face Detection (HP)
|
100% |
2640
31.4 IPS |
|
|
Face Detection (Q)
|
97% |
14209
169.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11867
91.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3560
27.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
29003
231.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21560
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
14535
18.7 IPS |
|
|
Style Transfer (Q)
|
98% |
41952
54.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3469
128.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3100
114.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6474
239.7 IPS |
|
|
Text Classification (SP)
|
100% |
2957
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
1336
1.78 KIPS |
|
|
Text Classification (Q)
|
97% |
2535
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4245
73.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1492
25.7 IPS |
|
|
Machine Translation (Q)
|
65% |
5548
111.5 IPS |
