ASUS System Product Name
Geekbench AI Score
15191
Single Precision Score
15314
Half Precision Score
32928
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | December 15 2024 03:19 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, 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% |
7537
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
7916
1.47 KIPS |
|
|
Image Classification (Q)
|
100% |
15480
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9253
150.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9120
147.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
19552
317.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
33839
39.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
34044
39.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
136132
159.4 IPS |
|
|
Object Detection (SP)
|
100% |
9083
720.4 IPS |
|
|
Object Detection (HP)
|
100% |
8617
683.5 IPS |
|
|
Object Detection (Q)
|
88% |
18930
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
18670
221.8 IPS |
|
|
Face Detection (HP)
|
100% |
20320
241.4 IPS |
|
|
Face Detection (Q)
|
100% |
50046
594.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
27088
208.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
27494
211.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
67520
525.4 IPS |
|
|
Style Transfer (SP)
|
100% |
88348
113.6 IPS |
|
|
Style Transfer (HP)
|
100% |
88532
113.8 IPS |
|
|
Style Transfer (Q)
|
98% |
311386
401.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15402
568.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15887
586.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40337
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
5756
7.68 KIPS |
|
|
Text Classification (HP)
|
100% |
5475
7.31 KIPS |
|
|
Text Classification (Q)
|
92% |
6243
8.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
7712
132.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7789
134.2 IPS |
|
|
Machine Translation (Q)
|
100% |
7251
124.9 IPS |
