ASUS System Product Name
Geekbench AI Score
15314
Single Precision Score
15188
Half Precision Score
33651
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | January 07 2025 06:42 PM |
| Views | 12 |
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% |
7271
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
7166
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
16246
3.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9152
148.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9517
154.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19129
310.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
34719
40.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
34676
40.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
138611
162.3 IPS |
|
|
Object Detection (SP)
|
100% |
8842
701.4 IPS |
|
|
Object Detection (HP)
|
100% |
8820
699.6 IPS |
|
|
Object Detection (Q)
|
88% |
19686
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
20436
242.8 IPS |
|
|
Face Detection (HP)
|
100% |
19933
236.8 IPS |
|
|
Face Detection (Q)
|
100% |
52390
622.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
27640
212.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
27225
209.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
69894
543.8 IPS |
|
|
Style Transfer (SP)
|
100% |
89353
114.9 IPS |
|
|
Style Transfer (HP)
|
100% |
90527
116.4 IPS |
|
|
Style Transfer (Q)
|
98% |
317320
409.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15818
584.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16195
598.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41863
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
5732
7.65 KIPS |
|
|
Text Classification (HP)
|
100% |
5413
7.23 KIPS |
|
|
Text Classification (Q)
|
92% |
6337
8.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
7591
130.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7272
125.3 IPS |
|
|
Machine Translation (Q)
|
100% |
7125
122.7 IPS |
