ASUS System Product Name
Geekbench AI Score
10305
Single Precision Score
3702
Half Precision Score
15842
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | sdfsdgsgs |
| Upload Date | July 01 2025 02:34 AM |
| Views | 6 |
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-F GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8913
1.66 KIPS |
|
|
Image Classification (HP)
|
100% |
1271
236.3 IPS |
|
|
Image Classification (Q)
|
99% |
15307
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2817
45.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1938
31.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
18592
302.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17977
21.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
14127
16.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
58903
69.1 IPS |
|
|
Object Detection (SP)
|
100% |
8882
704.6 IPS |
|
|
Object Detection (HP)
|
100% |
1673
132.7 IPS |
|
|
Object Detection (Q)
|
86% |
15904
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
22402
266.2 IPS |
|
|
Face Detection (HP)
|
100% |
3684
43.8 IPS |
|
|
Face Detection (Q)
|
97% |
16645
198.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
23610
181.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
5010
38.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
40075
319.8 IPS |
|
|
Style Transfer (SP)
|
100% |
42019
54.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29765
38.3 IPS |
|
|
Style Transfer (Q)
|
98% |
48276
62.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6524
240.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5530
204.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7069
261.7 IPS |
|
|
Text Classification (SP)
|
100% |
3709
4.95 KIPS |
|
|
Text Classification (HP)
|
100% |
1586
2.12 KIPS |
|
|
Text Classification (Q)
|
97% |
2635
3.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
6266
107.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1726
29.7 IPS |
|
|
Machine Translation (Q)
|
65% |
6229
125.2 IPS |
