ASUS System Product Name
Geekbench AI Score
24969
Single Precision Score
39137
Half Precision Score
15172
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | RAMFlux |
| Upload Date | April 02 2026 04:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B550M-A AC |
| Power Plan | AMD Ryzen 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9803
1.82 KIPS |
|
|
Image Classification (HP)
|
99% |
14468
2.70 KIPS |
|
|
Image Classification (Q)
|
100% |
6625
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18060
292.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
26456
428.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
12704
206.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
142913
166.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
377750
440.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
112120
131.4 IPS |
|
|
Object Detection (SP)
|
100% |
12360
980.4 IPS |
|
|
Object Detection (HP)
|
100% |
18663
1.48 KIPS |
|
|
Object Detection (Q)
|
85% |
8456
680.2 IPS |
|
|
Face Detection (SP)
|
100% |
34351
408.2 IPS |
|
|
Face Detection (HP)
|
100% |
50120
595.5 IPS |
|
|
Face Detection (Q)
|
97% |
23016
274.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
65002
500.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
113457
874.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
38172
305.8 IPS |
|
|
Style Transfer (SP)
|
100% |
256656
329.9 IPS |
|
|
Style Transfer (HP)
|
100% |
629353
809.0 IPS |
|
|
Style Transfer (Q)
|
98% |
186403
240.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37172
1.37 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48845
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20687
766.0 IPS |
|
|
Text Classification (SP)
|
100% |
2867
3.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3594
4.80 KIPS |
|
|
Text Classification (Q)
|
97% |
1453
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4932
85.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4974
85.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1646
30.9 IPS |
