ASUS System Product Name
Geekbench AI Score
15233
Single Precision Score
15312
Half Precision Score
33231
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | January 07 2025 07:37 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% |
7314
1.36 KIPS |
|
|
Image Classification (HP)
|
100% |
7938
1.48 KIPS |
|
|
Image Classification (Q)
|
100% |
16269
3.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9206
149.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9359
151.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19006
308.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
33771
39.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
33894
39.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
134377
157.3 IPS |
|
|
Object Detection (SP)
|
100% |
8903
706.2 IPS |
|
|
Object Detection (HP)
|
100% |
8762
695.0 IPS |
|
|
Object Detection (Q)
|
88% |
19109
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
21971
261.1 IPS |
|
|
Face Detection (HP)
|
100% |
19995
237.6 IPS |
|
|
Face Detection (Q)
|
100% |
49051
582.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
26375
203.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
27692
213.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
68483
532.9 IPS |
|
|
Style Transfer (SP)
|
100% |
88023
113.2 IPS |
|
|
Style Transfer (HP)
|
100% |
87470
112.4 IPS |
|
|
Style Transfer (Q)
|
98% |
311095
401.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15740
581.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15624
576.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
42392
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
5325
7.11 KIPS |
|
|
Text Classification (HP)
|
100% |
5442
7.26 KIPS |
|
|
Text Classification (Q)
|
92% |
6426
8.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
7773
133.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7800
134.4 IPS |
|
|
Machine Translation (Q)
|
100% |
7266
125.2 IPS |
