ASUS System Product Name
Geekbench AI Score
15293
Single Precision Score
14961
Half Precision Score
33121
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | January 07 2025 06:58 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% |
7766
1.44 KIPS |
|
|
Image Classification (HP)
|
100% |
7245
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
16184
3.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9572
155.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9078
147.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19382
314.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
33745
39.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
33716
39.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
133064
155.8 IPS |
|
|
Object Detection (SP)
|
100% |
8907
706.5 IPS |
|
|
Object Detection (HP)
|
100% |
8520
675.8 IPS |
|
|
Object Detection (Q)
|
88% |
19177
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
19206
228.2 IPS |
|
|
Face Detection (HP)
|
100% |
21057
250.2 IPS |
|
|
Face Detection (Q)
|
100% |
50088
595.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
28135
216.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
25932
199.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
68583
533.6 IPS |
|
|
Style Transfer (SP)
|
100% |
86672
111.4 IPS |
|
|
Style Transfer (HP)
|
100% |
88054
113.2 IPS |
|
|
Style Transfer (Q)
|
98% |
308042
397.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15933
588.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15554
574.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40958
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
5639
7.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5447
7.27 KIPS |
|
|
Text Classification (Q)
|
92% |
6311
8.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
7447
128.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7304
125.8 IPS |
|
|
Machine Translation (Q)
|
100% |
7257
125.0 IPS |
