ASUS System Product Name
Geekbench AI Score
8676
Single Precision Score
8599
Half Precision Score
19528
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 07:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650-A GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5093
947.2 IPS |
|
|
Image Classification (HP)
|
100% |
4794
891.5 IPS |
|
|
Image Classification (Q)
|
100% |
10542
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4966
80.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4916
79.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10320
167.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15218
17.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
15313
17.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
60250
70.5 IPS |
|
|
Object Detection (SP)
|
100% |
5316
421.7 IPS |
|
|
Object Detection (HP)
|
100% |
5181
410.9 IPS |
|
|
Object Detection (Q)
|
88% |
12299
985.9 IPS |
|
|
Face Detection (SP)
|
100% |
13924
165.4 IPS |
|
|
Face Detection (HP)
|
100% |
14057
167.0 IPS |
|
|
Face Detection (Q)
|
100% |
33796
401.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15600
120.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
15846
122.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
40685
316.6 IPS |
|
|
Style Transfer (SP)
|
100% |
39210
50.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38699
49.7 IPS |
|
|
Style Transfer (Q)
|
98% |
146452
188.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7745
286.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7721
285.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22746
842.4 IPS |
|
|
Text Classification (SP)
|
100% |
3724
4.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3674
4.90 KIPS |
|
|
Text Classification (Q)
|
92% |
4222
5.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4811
82.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4836
83.3 IPS |
|
|
Machine Translation (Q)
|
100% |
5173
89.1 IPS |
