ASUS System Product Name
Geekbench AI Score
15357
Single Precision Score
15181
Half Precision Score
33152
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | October 27 2024 12:46 AM |
| Views | 16 |
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% |
7819
1.45 KIPS |
|
|
Image Classification (HP)
|
100% |
7399
1.38 KIPS |
|
|
Image Classification (Q)
|
100% |
15343
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9446
153.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9294
150.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19791
320.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
35126
41.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
34853
40.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
140207
164.1 IPS |
|
|
Object Detection (SP)
|
100% |
9069
719.4 IPS |
|
|
Object Detection (HP)
|
100% |
8897
705.7 IPS |
|
|
Object Detection (Q)
|
88% |
19118
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
20805
247.2 IPS |
|
|
Face Detection (HP)
|
100% |
19700
234.1 IPS |
|
|
Face Detection (Q)
|
100% |
48669
578.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
25573
197.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
26594
204.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
71518
556.5 IPS |
|
|
Style Transfer (SP)
|
100% |
91380
117.5 IPS |
|
|
Style Transfer (HP)
|
100% |
88908
114.3 IPS |
|
|
Style Transfer (Q)
|
98% |
312492
403.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15920
587.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15674
578.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40500
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
5162
6.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5462
7.29 KIPS |
|
|
Text Classification (Q)
|
92% |
6232
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
7765
133.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7650
131.8 IPS |
|
|
Machine Translation (Q)
|
100% |
7177
123.6 IPS |
