ASUS System Product Name
Geekbench AI Score
15338
Single Precision Score
15428
Half Precision Score
33890
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | December 15 2024 02:39 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores |
| 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% |
7827
1.46 KIPS |
|
|
Image Classification (HP)
|
100% |
7961
1.48 KIPS |
|
|
Image Classification (Q)
|
100% |
15954
2.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9587
155.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9324
151.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19585
317.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
33736
39.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
33601
39.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
134669
157.7 IPS |
|
|
Object Detection (SP)
|
100% |
9051
717.9 IPS |
|
|
Object Detection (HP)
|
100% |
9357
742.2 IPS |
|
|
Object Detection (Q)
|
88% |
19724
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
20374
242.1 IPS |
|
|
Face Detection (HP)
|
100% |
20519
243.8 IPS |
|
|
Face Detection (Q)
|
100% |
54269
644.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
26598
204.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
27032
208.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
69292
539.2 IPS |
|
|
Style Transfer (SP)
|
100% |
87992
113.1 IPS |
|
|
Style Transfer (HP)
|
100% |
87987
113.1 IPS |
|
|
Style Transfer (Q)
|
98% |
307284
396.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15536
573.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15654
578.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41285
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
5510
7.35 KIPS |
|
|
Text Classification (HP)
|
100% |
5649
7.54 KIPS |
|
|
Text Classification (Q)
|
92% |
6886
9.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
7706
132.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7590
130.7 IPS |
|
|
Machine Translation (Q)
|
100% |
7331
126.3 IPS |
