ASUS System Product Name
Geekbench AI Score
13546
Single Precision Score
13779
Half Precision Score
29243
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | August 15 2024 06:36 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% |
6810
1.27 KIPS |
|
|
Image Classification (HP)
|
100% |
7046
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
15124
2.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8004
129.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8165
132.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
16438
266.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
33050
38.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
33050
38.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
127646
149.4 IPS |
|
|
Object Detection (SP)
|
100% |
7559
599.6 IPS |
|
|
Object Detection (HP)
|
100% |
8262
655.4 IPS |
|
|
Object Detection (Q)
|
88% |
17106
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
17289
205.4 IPS |
|
|
Face Detection (HP)
|
100% |
17373
206.4 IPS |
|
|
Face Detection (Q)
|
100% |
41285
490.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
25029
192.8 IPS |
|
|
Depth Estimation (HP)
|
100% |
24347
187.6 IPS |
|
|
Depth Estimation (Q)
|
80% |
62529
495.5 IPS |
|
|
Style Transfer (SP)
|
100% |
81861
105.2 IPS |
|
|
Style Transfer (HP)
|
100% |
82157
105.6 IPS |
|
|
Style Transfer (Q)
|
98% |
287568
370.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13917
513.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14335
529.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35636
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
4763
6.36 KIPS |
|
|
Text Classification (HP)
|
100% |
4794
6.40 KIPS |
|
|
Text Classification (Q)
|
92% |
5540
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
6508
112.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6577
113.3 IPS |
|
|
Machine Translation (Q)
|
85% |
5749
100.5 IPS |
