ASUS System Product Name
Geekbench AI Score
2633
Single Precision Score
1214
Half Precision Score
3173
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | goblin1200 |
| Upload Date | September 22 2024 02:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS X570-ACE |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1331
247.6 IPS |
|
|
Image Classification (HP)
|
100% |
425
79.1 IPS |
|
|
Image Classification (Q)
|
96% |
2940
549.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1652
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
674
10.9 IPS |
|
|
Image Segmentation (Q)
|
97% |
2229
36.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5677
6.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
4385
5.12 IPS |
|
|
Pose Estimation (Q)
|
87% |
13983
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1579
125.2 IPS |
|
|
Object Detection (HP)
|
100% |
509
40.4 IPS |
|
|
Object Detection (Q)
|
86% |
1476
118.7 IPS |
|
|
Face Detection (SP)
|
100% |
2567
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
1212
14.4 IPS |
|
|
Face Detection (Q)
|
96% |
3704
44.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5888
45.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1896
14.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
6299
50.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13476
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
11576
14.9 IPS |
|
|
Style Transfer (Q)
|
87% |
17979
23.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1884
69.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1594
58.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2732
101.2 IPS |
|
|
Text Classification (SP)
|
100% |
1254
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
512
683.0 IPS |
|
|
Text Classification (Q)
|
97% |
380
508.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1694
29.2 IPS |
|
|
Machine Translation (HP)
|
100% |
504
8.69 IPS |
|
|
Machine Translation (Q)
|
60% |
1760
39.3 IPS |
