ASUS System Product Name
Geekbench AI Score
15148
Single Precision Score
14964
Half Precision Score
33338
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | September 23 2024 06:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Eng Sample: 100-000001277-60_Y |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 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% |
7248
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
7429
1.38 KIPS |
|
|
Image Classification (Q)
|
100% |
16378
3.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8844
143.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9739
157.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
19115
309.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
34254
40.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
34625
40.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
134979
158.0 IPS |
|
|
Object Detection (SP)
|
100% |
8825
700.0 IPS |
|
|
Object Detection (HP)
|
100% |
8529
676.5 IPS |
|
|
Object Detection (Q)
|
88% |
19052
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
22230
264.1 IPS |
|
|
Face Detection (HP)
|
100% |
19247
228.7 IPS |
|
|
Face Detection (Q)
|
100% |
53706
638.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
26366
203.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
26350
203.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
69532
541.0 IPS |
|
|
Style Transfer (SP)
|
100% |
88952
114.3 IPS |
|
|
Style Transfer (HP)
|
100% |
89007
114.4 IPS |
|
|
Style Transfer (Q)
|
98% |
308401
397.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15410
569.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15336
566.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40926
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
5342
7.13 KIPS |
|
|
Text Classification (HP)
|
100% |
5083
6.78 KIPS |
|
|
Text Classification (Q)
|
92% |
6192
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
7650
131.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7492
129.1 IPS |
|
|
Machine Translation (Q)
|
100% |
7219
124.4 IPS |
