ASUS System Product Name
Geekbench AI Score
15234
Single Precision Score
15478
Half Precision Score
33456
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | January 19 2025 01:41 AM |
| Views | 13 |
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% |
6980
1.30 KIPS |
|
|
Image Classification (HP)
|
100% |
7594
1.41 KIPS |
|
|
Image Classification (Q)
|
100% |
15696
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9754
158.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9205
149.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19839
321.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
34754
40.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
35243
41.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
138689
162.4 IPS |
|
|
Object Detection (SP)
|
100% |
8696
689.7 IPS |
|
|
Object Detection (HP)
|
100% |
8753
694.3 IPS |
|
|
Object Detection (Q)
|
88% |
19772
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
21118
250.9 IPS |
|
|
Face Detection (HP)
|
100% |
21811
259.2 IPS |
|
|
Face Detection (Q)
|
100% |
51625
613.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
26786
206.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
28142
216.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
68188
530.6 IPS |
|
|
Style Transfer (SP)
|
100% |
88654
114.0 IPS |
|
|
Style Transfer (HP)
|
100% |
89373
114.9 IPS |
|
|
Style Transfer (Q)
|
98% |
317666
409.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15635
577.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15950
589.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39747
1.47 KIPS |
|
|
Text Classification (SP)
|
100% |
5453
7.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5432
7.25 KIPS |
|
|
Text Classification (Q)
|
92% |
6325
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
7657
131.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7702
132.7 IPS |
|
|
Machine Translation (Q)
|
100% |
7319
126.1 IPS |
