ASUS System Product Name
Geekbench AI Score
2701
Single Precision Score
1289
Half Precision Score
3746
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | MacStaLL |
| Upload Date | November 14 2024 04:26 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B550M-K |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1666
309.7 IPS |
|
|
Image Classification (HP)
|
100% |
440
81.7 IPS |
|
|
Image Classification (Q)
|
96% |
3519
657.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1580
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
720
11.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
2651
43.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4489
5.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
3724
4.35 IPS |
|
|
Pose Estimation (Q)
|
87% |
10281
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
1919
152.2 IPS |
|
|
Object Detection (HP)
|
100% |
636
50.4 IPS |
|
|
Object Detection (Q)
|
86% |
2011
161.7 IPS |
|
|
Face Detection (SP)
|
100% |
2283
27.1 IPS |
|
|
Face Detection (HP)
|
100% |
1384
16.5 IPS |
|
|
Face Detection (Q)
|
96% |
3828
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5416
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1947
15.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
5657
45.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10990
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9642
12.4 IPS |
|
|
Style Transfer (Q)
|
87% |
13724
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2031
75.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1726
63.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2836
105.1 IPS |
|
|
Text Classification (SP)
|
100% |
1551
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
638
851.2 IPS |
|
|
Text Classification (Q)
|
97% |
1440
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2133
36.7 IPS |
|
|
Machine Translation (HP)
|
100% |
594
10.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2325
51.9 IPS |
