ASUS System Product Name
Geekbench AI Score
2336
Single Precision Score
1134
Half Precision Score
4018
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 11 2025 11:49 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-F GAMING WIFI II |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1830
340.4 IPS |
|
|
Image Classification (HP)
|
100% |
415
77.2 IPS |
|
|
Image Classification (Q)
|
96% |
3514
656.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
959
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
605
9.80 IPS |
|
|
Image Segmentation (Q)
|
97% |
4176
67.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3813
4.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
3363
3.92 IPS |
|
|
Pose Estimation (Q)
|
86% |
8379
9.91 IPS |
|
|
Object Detection (SP)
|
100% |
1621
128.6 IPS |
|
|
Object Detection (HP)
|
100% |
522
41.4 IPS |
|
|
Object Detection (Q)
|
58% |
2492
272.3 IPS |
|
|
Face Detection (SP)
|
100% |
3294
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
1092
13.0 IPS |
|
|
Face Detection (Q)
|
96% |
6138
73.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4973
38.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1550
11.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
7698
61.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9423
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
7827
10.1 IPS |
|
|
Style Transfer (Q)
|
87% |
10149
13.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1557
57.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1412
52.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2887
107.0 IPS |
|
|
Text Classification (SP)
|
100% |
1288
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
675
901.1 IPS |
|
|
Text Classification (Q)
|
97% |
1075
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1445
24.9 IPS |
|
|
Machine Translation (HP)
|
100% |
636
11.0 IPS |
|
|
Machine Translation (Q)
|
68% |
2405
46.5 IPS |
