ASUS System Product Name
Geekbench AI Score
10562
Single Precision Score
10553
Half Precision Score
20802
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | tr4 |
| Upload Date | December 15 2024 12:07 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen Threadripper PRO 7965WX 24-Cores |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS WRX90E-SAGE SE |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper PRO 7965WX 24-Cores |
| Topology | 1 Processor, 24 Cores, 48 Threads |
| Identifier | AuthenticAMD Family 25 Model 24 Stepping 1 |
| Base Frequency | 5.36 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 251.18 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5069
942.6 IPS |
|
|
Image Classification (HP)
|
100% |
5066
942.1 IPS |
|
|
Image Classification (Q)
|
100% |
7848
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7972
129.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7969
129.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
16207
262.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
22535
26.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
22587
26.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
86427
101.2 IPS |
|
|
Object Detection (SP)
|
100% |
6683
530.1 IPS |
|
|
Object Detection (HP)
|
100% |
6782
538.0 IPS |
|
|
Object Detection (Q)
|
88% |
12363
991.0 IPS |
|
|
Face Detection (SP)
|
100% |
16170
192.1 IPS |
|
|
Face Detection (HP)
|
100% |
16096
191.3 IPS |
|
|
Face Detection (Q)
|
100% |
36747
436.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
21216
163.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
21079
162.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
40681
316.5 IPS |
|
|
Style Transfer (SP)
|
100% |
55967
71.9 IPS |
|
|
Style Transfer (HP)
|
100% |
56150
72.2 IPS |
|
|
Style Transfer (Q)
|
98% |
177452
228.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10255
378.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10243
378.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25808
955.8 IPS |
|
|
Text Classification (SP)
|
100% |
3356
4.48 KIPS |
|
|
Text Classification (HP)
|
100% |
3331
4.45 KIPS |
|
|
Text Classification (Q)
|
92% |
3618
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4298
74.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4264
73.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4508
77.6 IPS |
