ASUS System Product Name
Geekbench AI Score
13594
Single Precision Score
13491
Half Precision Score
29313
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | August 15 2024 06:50 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Eng Sample: 100-000001277-60_Y |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Eng Sample: 100-000001277-60_Y |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6912
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
6835
1.27 KIPS |
|
|
Image Classification (Q)
|
100% |
14481
2.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8412
136.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8246
133.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
16355
265.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
32325
37.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
32135
37.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
125788
147.3 IPS |
|
|
Object Detection (SP)
|
100% |
8100
642.5 IPS |
|
|
Object Detection (HP)
|
100% |
7900
626.6 IPS |
|
|
Object Detection (Q)
|
88% |
16725
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
17280
205.3 IPS |
|
|
Face Detection (HP)
|
100% |
16892
200.7 IPS |
|
|
Face Detection (Q)
|
100% |
41141
488.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
24263
186.9 IPS |
|
|
Depth Estimation (HP)
|
100% |
24879
191.7 IPS |
|
|
Depth Estimation (Q)
|
80% |
64167
508.5 IPS |
|
|
Style Transfer (SP)
|
100% |
81314
104.5 IPS |
|
|
Style Transfer (HP)
|
100% |
80754
103.8 IPS |
|
|
Style Transfer (Q)
|
98% |
282345
364.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14008
517.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13678
505.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36168
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
4595
6.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4640
6.19 KIPS |
|
|
Text Classification (Q)
|
92% |
5660
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
6454
111.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6482
111.7 IPS |
|
|
Machine Translation (Q)
|
85% |
6162
107.7 IPS |
