ASUS System Product Name
Geekbench AI Score
3095
Single Precision Score
978
Half Precision Score
4039
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | TheDogDR |
| Upload Date | October 10 2024 11:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X |
| System Information | |
|---|---|
| Operating System | Fedora Linux 40 (Workstation Edition) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B550M-K |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.65 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1344
250.0 IPS |
|
|
Image Classification (HP)
|
100% |
231
43.0 IPS |
|
|
Image Classification (Q)
|
93% |
3725
696.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1799
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
379
6.15 IPS |
|
|
Image Segmentation (Q)
|
98% |
2459
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5546
6.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
4327
5.05 IPS |
|
|
Pose Estimation (Q)
|
87% |
8867
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
1381
109.5 IPS |
|
|
Object Detection (HP)
|
100% |
314
24.9 IPS |
|
|
Object Detection (Q)
|
86% |
2347
188.7 IPS |
|
|
Face Detection (SP)
|
100% |
2822
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
454
5.40 IPS |
|
|
Face Detection (Q)
|
96% |
4564
54.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6659
51.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1309
10.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
5877
47.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13367
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11539
14.8 IPS |
|
|
Style Transfer (Q)
|
87% |
13034
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2708
100.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2198
81.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3399
125.9 IPS |
|
|
Text Classification (SP)
|
100% |
2336
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
709
946.8 IPS |
|
|
Text Classification (Q)
|
97% |
1723
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2741
47.2 IPS |
|
|
Machine Translation (HP)
|
100% |
631
10.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2961
66.1 IPS |
