ASUS System Product Name
Geekbench AI Score
15172
Single Precision Score
15391
Half Precision Score
33956
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | December 15 2024 02:44 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% |
7384
1.37 KIPS |
|
|
Image Classification (HP)
|
100% |
8208
1.53 KIPS |
|
|
Image Classification (Q)
|
100% |
16013
2.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9333
151.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8967
145.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19442
315.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
34026
39.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
33706
39.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
135514
158.6 IPS |
|
|
Object Detection (SP)
|
100% |
8948
709.8 IPS |
|
|
Object Detection (HP)
|
100% |
8884
704.7 IPS |
|
|
Object Detection (Q)
|
88% |
19426
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
20413
242.5 IPS |
|
|
Face Detection (HP)
|
100% |
21526
255.8 IPS |
|
|
Face Detection (Q)
|
100% |
51580
612.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
26679
205.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
26299
202.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
70855
551.3 IPS |
|
|
Style Transfer (SP)
|
100% |
88249
113.4 IPS |
|
|
Style Transfer (HP)
|
100% |
87810
112.9 IPS |
|
|
Style Transfer (Q)
|
98% |
311342
401.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15472
571.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15827
584.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
42097
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
5467
7.30 KIPS |
|
|
Text Classification (HP)
|
100% |
5642
7.53 KIPS |
|
|
Text Classification (Q)
|
92% |
6726
9.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
7580
130.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7625
131.3 IPS |
|
|
Machine Translation (Q)
|
100% |
7718
132.9 IPS |
