ASUS System Product Name
Geekbench AI Score
15094
Single Precision Score
15091
Half Precision Score
33824
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | January 07 2025 06:34 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Eng Sample: 100-000001277-60_Y |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro N (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E APEX |
| Power Plan | Balansert |
| 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% |
7199
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
7745
1.44 KIPS |
|
|
Image Classification (Q)
|
100% |
16534
3.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9026
146.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8984
145.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
19183
311.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
34959
40.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
34760
40.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
138923
162.6 IPS |
|
|
Object Detection (SP)
|
100% |
8950
709.9 IPS |
|
|
Object Detection (HP)
|
100% |
9008
714.5 IPS |
|
|
Object Detection (Q)
|
88% |
19617
1.57 KIPS |
|
|
Face Detection (SP)
|
100% |
19495
231.6 IPS |
|
|
Face Detection (HP)
|
100% |
19262
228.9 IPS |
|
|
Face Detection (Q)
|
100% |
53098
630.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
27067
208.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
26060
200.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
69367
539.7 IPS |
|
|
Style Transfer (SP)
|
100% |
89678
115.3 IPS |
|
|
Style Transfer (HP)
|
100% |
90264
116.0 IPS |
|
|
Style Transfer (Q)
|
98% |
313311
404.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16011
591.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15472
571.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
42484
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
5213
6.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5343
7.13 KIPS |
|
|
Text Classification (Q)
|
92% |
6381
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
7649
131.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7509
129.3 IPS |
|
|
Machine Translation (Q)
|
100% |
7249
124.9 IPS |
