ASUS System Product Name
Geekbench AI Score
29549
Single Precision Score
41284
Half Precision Score
23592
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 02:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B450M-A II |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11272
2.10 KIPS |
|
|
Image Classification (HP)
|
99% |
15123
2.82 KIPS |
|
|
Image Classification (Q)
|
100% |
10060
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17583
285.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21807
353.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
16621
270.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
239707
279.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
462150
539.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
214244
251.0 IPS |
|
|
Object Detection (SP)
|
100% |
14277
1.13 KIPS |
|
|
Object Detection (HP)
|
100% |
18756
1.49 KIPS |
|
|
Object Detection (Q)
|
85% |
12546
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
39036
463.8 IPS |
|
|
Face Detection (HP)
|
100% |
48492
576.2 IPS |
|
|
Face Detection (Q)
|
97% |
33792
402.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
77835
599.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
134440
1.04 KIPS |
|
|
Depth Estimation (Q)
|
78% |
60079
479.8 IPS |
|
|
Style Transfer (SP)
|
100% |
362533
466.0 IPS |
|
|
Style Transfer (HP)
|
100% |
758363
974.9 IPS |
|
|
Style Transfer (Q)
|
98% |
319918
412.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48686
1.80 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62955
2.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38334
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
3035
4.05 KIPS |
|
|
Text Classification (HP)
|
99% |
3581
4.78 KIPS |
|
|
Text Classification (Q)
|
97% |
1979
2.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
4598
79.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4514
77.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2412
45.2 IPS |
