ASUS System Product Name
Geekbench AI Score
14887
Single Precision Score
15223
Half Precision Score
33468
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | January 07 2025 07:35 PM |
| Views | 14 |
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% |
7174
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
7446
1.38 KIPS |
|
|
Image Classification (Q)
|
100% |
16038
2.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8890
144.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9560
155.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
19459
315.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
33692
39.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
34072
39.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
135191
158.3 IPS |
|
|
Object Detection (SP)
|
100% |
8503
674.5 IPS |
|
|
Object Detection (HP)
|
100% |
8714
691.2 IPS |
|
|
Object Detection (Q)
|
88% |
18910
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
19681
233.9 IPS |
|
|
Face Detection (HP)
|
100% |
20199
240.0 IPS |
|
|
Face Detection (Q)
|
100% |
55739
662.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
27130
209.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
26937
207.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
68983
536.8 IPS |
|
|
Style Transfer (SP)
|
100% |
88696
114.0 IPS |
|
|
Style Transfer (HP)
|
100% |
86694
111.4 IPS |
|
|
Style Transfer (Q)
|
98% |
305551
394.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15547
574.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15638
577.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41113
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
5204
6.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5566
7.43 KIPS |
|
|
Text Classification (Q)
|
92% |
6330
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
7641
131.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7705
132.7 IPS |
|
|
Machine Translation (Q)
|
100% |
7229
124.5 IPS |
