ASUS System Product Name
Geekbench AI Score
15016
Single Precision Score
14925
Half Precision Score
33175
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | January 07 2025 06:30 PM |
| Views | 11 |
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% |
7322
1.36 KIPS |
|
|
Image Classification (HP)
|
100% |
7285
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
15518
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9230
149.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9005
146.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
19868
322.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
34650
40.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34886
40.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
138004
161.6 IPS |
|
|
Object Detection (SP)
|
100% |
8955
710.3 IPS |
|
|
Object Detection (HP)
|
100% |
8477
672.4 IPS |
|
|
Object Detection (Q)
|
88% |
19771
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
19539
232.2 IPS |
|
|
Face Detection (HP)
|
100% |
18822
223.7 IPS |
|
|
Face Detection (Q)
|
100% |
49335
586.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
26125
201.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
26432
203.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
71134
553.5 IPS |
|
|
Style Transfer (SP)
|
100% |
90696
116.6 IPS |
|
|
Style Transfer (HP)
|
100% |
89277
114.8 IPS |
|
|
Style Transfer (Q)
|
98% |
311954
402.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15812
583.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16124
595.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39183
1.45 KIPS |
|
|
Text Classification (SP)
|
100% |
5312
7.09 KIPS |
|
|
Text Classification (HP)
|
100% |
5328
7.11 KIPS |
|
|
Text Classification (Q)
|
92% |
6186
8.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
7149
123.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7412
127.7 IPS |
|
|
Machine Translation (Q)
|
100% |
7234
124.6 IPS |
