ASUS System Product Name
Geekbench AI Score
13701
Single Precision Score
13798
Half Precision Score
28736
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | August 15 2024 06:41 PM |
| Views | 3 |
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% |
6756
1.26 KIPS |
|
|
Image Classification (HP)
|
100% |
7143
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
14176
2.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8556
138.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8578
139.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
14950
242.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
33010
38.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
32909
38.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
127966
149.8 IPS |
|
|
Object Detection (SP)
|
100% |
8203
650.6 IPS |
|
|
Object Detection (HP)
|
100% |
7914
627.7 IPS |
|
|
Object Detection (Q)
|
88% |
16945
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
18242
216.8 IPS |
|
|
Face Detection (HP)
|
100% |
18742
222.7 IPS |
|
|
Face Detection (Q)
|
100% |
42582
506.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
24667
190.0 IPS |
|
|
Depth Estimation (HP)
|
100% |
24554
189.2 IPS |
|
|
Depth Estimation (Q)
|
80% |
61568
487.9 IPS |
|
|
Style Transfer (SP)
|
100% |
81415
104.7 IPS |
|
|
Style Transfer (HP)
|
100% |
81459
104.7 IPS |
|
|
Style Transfer (Q)
|
98% |
282237
363.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13657
504.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13445
496.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36350
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
4667
6.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4829
6.45 KIPS |
|
|
Text Classification (Q)
|
92% |
5347
7.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
6378
109.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6441
110.9 IPS |
|
|
Machine Translation (Q)
|
85% |
5810
101.6 IPS |
