ASUS System Product Name
Geekbench AI Score
10183
Single Precision Score
10311
Half Precision Score
18385
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | David_Huang |
| Upload Date | August 16 2024 04:06 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen Threadripper 7970X 32-Cores |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux trixie/sid |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS TRX50-SAGE WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 7970X 32-Cores |
| Topology | 1 Processor, 32 Cores, 64 Threads |
| Identifier | AuthenticAMD Family 25 Model 24 Stepping 1 |
| Base Frequency | 5.35 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 251.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4778
888.6 IPS |
|
|
Image Classification (HP)
|
100% |
4757
884.7 IPS |
|
|
Image Classification (Q)
|
100% |
7898
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5060
82.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5071
82.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6650
108.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
28191
32.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
28469
33.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
103748
121.5 IPS |
|
|
Object Detection (SP)
|
100% |
6130
486.2 IPS |
|
|
Object Detection (HP)
|
100% |
6163
488.9 IPS |
|
|
Object Detection (Q)
|
88% |
10059
806.3 IPS |
|
|
Face Detection (SP)
|
100% |
13406
159.3 IPS |
|
|
Face Detection (HP)
|
100% |
13196
156.8 IPS |
|
|
Face Detection (Q)
|
100% |
26059
309.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
22980
177.0 IPS |
|
|
Depth Estimation (HP)
|
100% |
24381
187.8 IPS |
|
|
Depth Estimation (Q)
|
80% |
42666
338.1 IPS |
|
|
Style Transfer (SP)
|
100% |
68096
87.5 IPS |
|
|
Style Transfer (HP)
|
100% |
67893
87.3 IPS |
|
|
Style Transfer (Q)
|
98% |
206160
265.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10660
393.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10957
404.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23194
859.0 IPS |
|
|
Text Classification (SP)
|
100% |
2889
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
2998
4.00 KIPS |
|
|
Text Classification (Q)
|
92% |
3317
4.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4442
76.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4476
77.1 IPS |
|
|
Machine Translation (Q)
|
85% |
4567
79.8 IPS |
