ASUS System Product Name
Geekbench AI Score
14810
Single Precision Score
14961
Half Precision Score
32523
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 03:01 PM |
| Views | 735 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Eng Sample: 100-000000719-52_Y |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Eng Sample: 100-000000719-52_Y |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7171
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
7193
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
15665
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8581
139.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9041
146.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
19168
310.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
33595
39.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
33798
39.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
129993
152.2 IPS |
|
|
Object Detection (SP)
|
100% |
8428
668.5 IPS |
|
|
Object Detection (HP)
|
100% |
8549
678.1 IPS |
|
|
Object Detection (Q)
|
88% |
19461
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
20696
245.9 IPS |
|
|
Face Detection (HP)
|
100% |
19862
236.0 IPS |
|
|
Face Detection (Q)
|
100% |
50573
600.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
27261
210.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
28501
219.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
68381
532.1 IPS |
|
|
Style Transfer (SP)
|
100% |
84779
109.0 IPS |
|
|
Style Transfer (HP)
|
100% |
84845
109.1 IPS |
|
|
Style Transfer (Q)
|
98% |
300039
386.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15683
579.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15719
580.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39968
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
5232
6.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5188
6.92 KIPS |
|
|
Text Classification (Q)
|
92% |
6011
8.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
7428
128.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7634
131.5 IPS |
|
|
Machine Translation (Q)
|
100% |
6994
120.5 IPS |
