ASUS System Product Name
Geekbench AI Score
23226
Single Precision Score
34251
Half Precision Score
13913
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 21 2024 12:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B550M-PLUS |
| Power Plan | AMD Ryzen Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8992
1.67 KIPS |
|
|
Image Classification (HP)
|
99% |
12186
2.27 KIPS |
|
|
Image Classification (Q)
|
100% |
5813
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15236
247.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20511
332.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
11232
182.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
169822
198.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
346706
404.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
127683
149.5 IPS |
|
|
Object Detection (SP)
|
100% |
11377
902.5 IPS |
|
|
Object Detection (HP)
|
100% |
15517
1.23 KIPS |
|
|
Object Detection (Q)
|
89% |
7240
579.6 IPS |
|
|
Face Detection (SP)
|
100% |
29077
345.5 IPS |
|
|
Face Detection (HP)
|
100% |
40123
476.7 IPS |
|
|
Face Detection (Q)
|
97% |
18965
226.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
56780
437.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99526
766.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
33600
270.8 IPS |
|
|
Style Transfer (SP)
|
100% |
258981
332.9 IPS |
|
|
Style Transfer (HP)
|
100% |
607990
781.6 IPS |
|
|
Style Transfer (Q)
|
98% |
188258
242.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36996
1.37 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49869
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20968
776.4 IPS |
|
|
Text Classification (SP)
|
100% |
2706
3.61 KIPS |
|
|
Text Classification (HP)
|
99% |
3412
4.55 KIPS |
|
|
Text Classification (Q)
|
97% |
1408
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4033
69.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4001
68.9 IPS |
|
|
Machine Translation (Q)
|
60% |
1272
28.4 IPS |
