ASUS System Product Name
Geekbench AI Score
15236
Single Precision Score
15223
Half Precision Score
33381
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | October 26 2024 11:12 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Eng Sample: 100-000001277-60_Y |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | Balanced |
| 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% |
7425
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
7674
1.43 KIPS |
|
|
Image Classification (Q)
|
100% |
16215
3.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9139
148.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9254
150.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
19351
313.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
34391
40.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
34147
39.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
137211
160.6 IPS |
|
|
Object Detection (SP)
|
100% |
8823
699.8 IPS |
|
|
Object Detection (HP)
|
100% |
8629
684.5 IPS |
|
|
Object Detection (Q)
|
88% |
19674
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
21592
256.6 IPS |
|
|
Face Detection (HP)
|
100% |
21123
251.0 IPS |
|
|
Face Detection (Q)
|
100% |
49706
590.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
26806
206.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
25231
194.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
69540
541.1 IPS |
|
|
Style Transfer (SP)
|
100% |
88306
113.5 IPS |
|
|
Style Transfer (HP)
|
100% |
89445
115.0 IPS |
|
|
Style Transfer (Q)
|
98% |
311262
401.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15866
585.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15741
581.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40953
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
5385
7.19 KIPS |
|
|
Text Classification (HP)
|
100% |
5509
7.35 KIPS |
|
|
Text Classification (Q)
|
92% |
6310
8.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
7501
129.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7730
133.2 IPS |
|
|
Machine Translation (Q)
|
100% |
7295
125.7 IPS |
