ASUS System Product Name
Geekbench AI Score
10274
Single Precision Score
10268
Half Precision Score
22657
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 28 2024 03:06 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5908
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
5634
1.05 KIPS |
|
|
Image Classification (Q)
|
100% |
11942
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5749
93.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5763
93.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
11389
184.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18391
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18461
21.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
72096
84.4 IPS |
|
|
Object Detection (SP)
|
100% |
6557
520.1 IPS |
|
|
Object Detection (HP)
|
100% |
6388
506.7 IPS |
|
|
Object Detection (Q)
|
88% |
13833
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
15742
187.0 IPS |
|
|
Face Detection (HP)
|
100% |
16901
200.8 IPS |
|
|
Face Detection (Q)
|
100% |
38329
455.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18516
142.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18553
142.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
48731
379.2 IPS |
|
|
Style Transfer (SP)
|
100% |
47685
61.3 IPS |
|
|
Style Transfer (HP)
|
100% |
47545
61.1 IPS |
|
|
Style Transfer (Q)
|
98% |
170916
220.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9310
343.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9061
334.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27024
1.00 KIPS |
|
|
Text Classification (SP)
|
100% |
4339
5.79 KIPS |
|
|
Text Classification (HP)
|
100% |
4412
5.89 KIPS |
|
|
Text Classification (Q)
|
92% |
5075
6.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
5703
98.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5713
98.4 IPS |
|
|
Machine Translation (Q)
|
100% |
6005
103.4 IPS |
