ASUS System Product Name
Geekbench AI Score
15043
Single Precision Score
15035
Half Precision Score
32750
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | September 23 2024 06:32 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Eng Sample: 100-000001277-60_Y |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 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% |
7157
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
6955
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
15924
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8657
140.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9086
147.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
17737
287.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
34503
40.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
34251
40.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
136389
159.7 IPS |
|
|
Object Detection (SP)
|
100% |
8589
681.3 IPS |
|
|
Object Detection (HP)
|
100% |
8695
689.7 IPS |
|
|
Object Detection (Q)
|
88% |
19301
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
19846
235.8 IPS |
|
|
Face Detection (HP)
|
100% |
21318
253.3 IPS |
|
|
Face Detection (Q)
|
100% |
50241
597.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
26556
204.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
25908
199.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
66074
514.1 IPS |
|
|
Style Transfer (SP)
|
100% |
89517
115.1 IPS |
|
|
Style Transfer (HP)
|
100% |
89138
114.6 IPS |
|
|
Style Transfer (Q)
|
98% |
312827
403.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15830
584.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15566
574.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40464
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
5632
7.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5414
7.23 KIPS |
|
|
Text Classification (Q)
|
92% |
6205
8.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
7687
132.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7563
130.3 IPS |
|
|
Machine Translation (Q)
|
100% |
7322
126.1 IPS |
