ASUS System Product Name
Geekbench AI Score
2754
Single Precision Score
1340
Half Precision Score
6184
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | StingerYar |
| Upload Date | February 15 2025 10:09 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 8400F 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8400F 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 5.10 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1844
342.9 IPS |
|
|
Image Classification (HP)
|
100% |
539
100.2 IPS |
|
|
Image Classification (Q)
|
99% |
6272
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
945
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
681
11.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3127
50.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3575
4.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
3256
3.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
16836
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
1935
153.5 IPS |
|
|
Object Detection (HP)
|
100% |
657
52.1 IPS |
|
|
Object Detection (Q)
|
86% |
5960
479.0 IPS |
|
|
Face Detection (SP)
|
100% |
6645
79.0 IPS |
|
|
Face Detection (HP)
|
100% |
1640
19.5 IPS |
|
|
Face Detection (Q)
|
97% |
9121
108.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6598
50.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1991
15.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
8141
65.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9398
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8393
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
24475
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1743
64.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1638
60.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3515
130.1 IPS |
|
|
Text Classification (SP)
|
100% |
1297
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
688
918.3 IPS |
|
|
Text Classification (Q)
|
97% |
1866
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2238
38.5 IPS |
|
|
Machine Translation (HP)
|
100% |
770
13.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3491
70.2 IPS |
