ASUS System Product Name
Geekbench AI Score
15178
Single Precision Score
14815
Half Precision Score
33230
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | NeilB |
| Upload Date | September 24 2024 07:32 AM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| 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 Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7733
1.44 KIPS |
|
|
Image Classification (HP)
|
100% |
7143
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
16349
3.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9304
150.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9429
152.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
18804
304.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
33432
39.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
33490
39.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
134684
157.7 IPS |
|
|
Object Detection (SP)
|
100% |
8848
701.8 IPS |
|
|
Object Detection (HP)
|
100% |
8348
662.2 IPS |
|
|
Object Detection (Q)
|
88% |
19671
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
20817
247.4 IPS |
|
|
Face Detection (HP)
|
100% |
18159
215.8 IPS |
|
|
Face Detection (Q)
|
100% |
50871
604.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
26934
207.5 IPS |
|
|
Depth Estimation (HP)
|
100% |
25524
196.6 IPS |
|
|
Depth Estimation (Q)
|
80% |
70089
555.5 IPS |
|
|
Style Transfer (SP)
|
100% |
87776
112.8 IPS |
|
|
Style Transfer (HP)
|
100% |
89014
114.4 IPS |
|
|
Style Transfer (Q)
|
98% |
305834
394.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15179
560.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15796
583.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39931
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
5474
7.31 KIPS |
|
|
Text Classification (HP)
|
100% |
5403
7.21 KIPS |
|
|
Text Classification (Q)
|
92% |
6266
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
7459
128.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7687
132.4 IPS |
|
|
Machine Translation (Q)
|
85% |
7388
129.1 IPS |
