ASUS System Product Name
Geekbench AI Score
14882
Single Precision Score
15078
Half Precision Score
32875
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | December 15 2024 03:29 AM |
| Views | 14 |
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% |
7405
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
7268
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
15783
2.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9280
150.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8989
145.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19721
319.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
33868
39.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
34571
40.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
134680
157.7 IPS |
|
|
Object Detection (SP)
|
100% |
8472
672.0 IPS |
|
|
Object Detection (HP)
|
100% |
9034
716.6 IPS |
|
|
Object Detection (Q)
|
88% |
19378
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
19712
234.2 IPS |
|
|
Face Detection (HP)
|
100% |
19848
235.8 IPS |
|
|
Face Detection (Q)
|
100% |
50217
596.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
25987
200.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
26490
204.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
67251
523.3 IPS |
|
|
Style Transfer (SP)
|
100% |
87978
113.1 IPS |
|
|
Style Transfer (HP)
|
100% |
88443
113.7 IPS |
|
|
Style Transfer (Q)
|
98% |
307704
396.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15782
582.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15277
564.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40692
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
5097
6.80 KIPS |
|
|
Text Classification (HP)
|
100% |
5526
7.38 KIPS |
|
|
Text Classification (Q)
|
92% |
6006
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
7457
128.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7587
130.7 IPS |
|
|
Machine Translation (Q)
|
100% |
7148
123.1 IPS |
