ASUS System Product Name
Geekbench AI Score
15496
Single Precision Score
15397
Half Precision Score
33743
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | December 15 2024 02:36 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% |
7962
1.48 KIPS |
|
|
Image Classification (HP)
|
100% |
7796
1.45 KIPS |
|
|
Image Classification (Q)
|
100% |
16206
3.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9845
159.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9490
153.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
19747
320.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
34010
39.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
34134
39.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
134681
157.7 IPS |
|
|
Object Detection (SP)
|
100% |
9183
728.4 IPS |
|
|
Object Detection (HP)
|
100% |
8735
692.9 IPS |
|
|
Object Detection (Q)
|
88% |
18873
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
20875
248.0 IPS |
|
|
Face Detection (HP)
|
100% |
22178
263.5 IPS |
|
|
Face Detection (Q)
|
100% |
54697
649.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
26535
204.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
26121
201.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
69599
541.5 IPS |
|
|
Style Transfer (SP)
|
100% |
87982
113.1 IPS |
|
|
Style Transfer (HP)
|
100% |
88718
114.0 IPS |
|
|
Style Transfer (Q)
|
98% |
310167
400.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15894
586.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15963
589.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41087
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
5446
7.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5410
7.22 KIPS |
|
|
Text Classification (Q)
|
92% |
6763
9.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
7733
133.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7650
131.8 IPS |
|
|
Machine Translation (Q)
|
100% |
7171
123.5 IPS |
