ASUS System Product Name
Geekbench AI Score
5283
Single Precision Score
5221
Half Precision Score
8015
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | lnrsoft |
| Upload Date | October 06 2024 09:43 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VIII DARK HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3483
647.7 IPS |
|
|
Image Classification (HP)
|
100% |
3814
709.2 IPS |
|
|
Image Classification (Q)
|
100% |
5623
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3307
53.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2769
44.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6399
104.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10299
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10314
12.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
23149
27.2 IPS |
|
|
Object Detection (SP)
|
100% |
3943
312.8 IPS |
|
|
Object Detection (HP)
|
100% |
3958
313.9 IPS |
|
|
Object Detection (Q)
|
87% |
6509
522.0 IPS |
|
|
Face Detection (SP)
|
100% |
9420
111.9 IPS |
|
|
Face Detection (HP)
|
100% |
8914
105.9 IPS |
|
|
Face Detection (Q)
|
97% |
20119
239.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10566
81.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
10554
81.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
20157
159.1 IPS |
|
|
Style Transfer (SP)
|
100% |
28876
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28718
36.9 IPS |
|
|
Style Transfer (Q)
|
98% |
61220
78.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5454
201.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5544
204.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11141
412.7 IPS |
|
|
Text Classification (SP)
|
100% |
874
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
859
1.15 KIPS |
|
|
Text Classification (Q)
|
91% |
281
377.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2645
45.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2714
46.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2598
44.7 IPS |
