ASUS System Product Name
Geekbench AI Score
25066
Single Precision Score
38099
Half Precision Score
15119
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | RAMFlux |
| Upload Date | May 09 2025 04:08 PM |
| Views | 4 |
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% |
9876
1.84 KIPS |
|
|
Image Classification (HP)
|
99% |
13816
2.58 KIPS |
|
|
Image Classification (Q)
|
100% |
6570
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18061
292.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
25990
421.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
12748
207.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
138092
161.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
366331
427.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
108390
127.0 IPS |
|
|
Object Detection (SP)
|
100% |
12679
1.01 KIPS |
|
|
Object Detection (HP)
|
100% |
18049
1.43 KIPS |
|
|
Object Detection (Q)
|
85% |
8536
686.7 IPS |
|
|
Face Detection (SP)
|
100% |
34262
407.1 IPS |
|
|
Face Detection (HP)
|
100% |
48795
579.8 IPS |
|
|
Face Detection (Q)
|
97% |
22937
273.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
64507
497.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
107117
825.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
37708
302.1 IPS |
|
|
Style Transfer (SP)
|
100% |
257069
330.5 IPS |
|
|
Style Transfer (HP)
|
100% |
613751
789.0 IPS |
|
|
Style Transfer (Q)
|
98% |
187523
241.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37836
1.40 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47161
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20749
768.3 IPS |
|
|
Text Classification (SP)
|
100% |
2924
3.90 KIPS |
|
|
Text Classification (HP)
|
99% |
3670
4.90 KIPS |
|
|
Text Classification (Q)
|
97% |
1468
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
4989
85.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4889
84.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1631
30.6 IPS |
