ASUS System Product Name
Geekbench AI Score
14189
Single Precision Score
14056
Half Precision Score
30044
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | September 11 2024 09:10 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 (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% |
7347
1.37 KIPS |
|
|
Image Classification (HP)
|
100% |
7224
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
14873
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8543
138.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8347
135.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
16274
263.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
35025
40.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
34805
40.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
135802
159.0 IPS |
|
|
Object Detection (SP)
|
100% |
8405
666.7 IPS |
|
|
Object Detection (HP)
|
100% |
8264
655.5 IPS |
|
|
Object Detection (Q)
|
88% |
17507
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
18394
218.6 IPS |
|
|
Face Detection (HP)
|
100% |
17654
209.8 IPS |
|
|
Face Detection (Q)
|
100% |
42261
502.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
25428
195.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
25260
194.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
63441
493.6 IPS |
|
|
Style Transfer (SP)
|
100% |
83402
107.2 IPS |
|
|
Style Transfer (HP)
|
100% |
85470
109.9 IPS |
|
|
Style Transfer (Q)
|
98% |
299023
385.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14024
517.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14010
517.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
37071
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
5026
6.71 KIPS |
|
|
Text Classification (HP)
|
100% |
4928
6.58 KIPS |
|
|
Text Classification (Q)
|
92% |
5659
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
6513
112.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6597
113.6 IPS |
|
|
Machine Translation (Q)
|
100% |
6192
106.7 IPS |
