ASUS System Product Name
Geekbench AI Score
3755
Single Precision Score
3722
Half Precision Score
2731
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ladapisti |
| Upload Date | October 31 2024 01:06 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1050 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-F GAMING (WI-FI) |
| Power Plan | Kiegyenslyozott |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
799
148.7 IPS |
|
|
Image Classification (HP)
|
100% |
1499
278.7 IPS |
|
|
Image Classification (Q)
|
100% |
725
134.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2429
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2002
32.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20118
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
10813
12.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
16751
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
1128
89.5 IPS |
|
|
Object Detection (HP)
|
100% |
1831
145.3 IPS |
|
|
Object Detection (Q)
|
89% |
958
76.7 IPS |
|
|
Face Detection (SP)
|
100% |
2175
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
3233
38.4 IPS |
|
|
Face Detection (Q)
|
97% |
1861
22.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7301
56.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6636
51.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
5776
46.5 IPS |
|
|
Style Transfer (SP)
|
100% |
33512
43.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20362
26.2 IPS |
|
|
Style Transfer (Q)
|
98% |
27466
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7376
272.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5315
196.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4952
183.4 IPS |
|
|
Text Classification (SP)
|
100% |
1373
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
1525
2.04 KIPS |
|
|
Text Classification (Q)
|
97% |
802
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2354
40.5 IPS |
|
|
Machine Translation (HP)
|
96% |
2275
39.3 IPS |
|
|
Machine Translation (Q)
|
60% |
848
18.9 IPS |
