ASUS System Product Name
Geekbench AI Score
15112
Single Precision Score
15086
Half Precision Score
33152
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | September 23 2024 06:25 PM |
| Views | 18 |
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% |
7564
1.41 KIPS |
|
|
Image Classification (HP)
|
100% |
7248
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
16294
3.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9357
151.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9373
151.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
18839
305.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
34413
40.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
34089
39.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
134749
157.8 IPS |
|
|
Object Detection (SP)
|
100% |
8299
658.3 IPS |
|
|
Object Detection (HP)
|
100% |
8649
686.1 IPS |
|
|
Object Detection (Q)
|
88% |
18764
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
21051
250.1 IPS |
|
|
Face Detection (HP)
|
100% |
20845
247.7 IPS |
|
|
Face Detection (Q)
|
100% |
53807
639.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
25925
199.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
26127
201.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
67396
524.4 IPS |
|
|
Style Transfer (SP)
|
100% |
87422
112.4 IPS |
|
|
Style Transfer (HP)
|
100% |
90069
115.8 IPS |
|
|
Style Transfer (Q)
|
98% |
310004
399.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15944
588.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15690
579.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41242
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
5464
7.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5211
6.96 KIPS |
|
|
Text Classification (Q)
|
92% |
6204
8.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
7397
127.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7604
131.0 IPS |
|
|
Machine Translation (Q)
|
100% |
7184
123.7 IPS |
