ASUS System Product Name
Geekbench AI Score
3070
Single Precision Score
1378
Half Precision Score
3675
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 03:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VIII HERO (WI-FI) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1476
274.4 IPS |
|
|
Image Classification (HP)
|
100% |
458
85.2 IPS |
|
|
Image Classification (Q)
|
96% |
3490
651.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1927
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
763
12.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
2593
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7692
8.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
5576
6.51 IPS |
|
|
Pose Estimation (Q)
|
87% |
18909
22.3 IPS |
|
|
Object Detection (SP)
|
100% |
1819
144.3 IPS |
|
|
Object Detection (HP)
|
100% |
556
44.1 IPS |
|
|
Object Detection (Q)
|
86% |
1731
139.2 IPS |
|
|
Face Detection (SP)
|
100% |
2905
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
1350
16.0 IPS |
|
|
Face Detection (Q)
|
96% |
4146
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7230
55.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2082
16.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
6833
54.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16371
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
14697
18.9 IPS |
|
|
Style Transfer (Q)
|
87% |
19931
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2132
78.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1765
65.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3226
119.5 IPS |
|
|
Text Classification (SP)
|
100% |
1343
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
561
748.7 IPS |
|
|
Text Classification (Q)
|
97% |
398
533.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1900
32.7 IPS |
|
|
Machine Translation (HP)
|
100% |
560
9.65 IPS |
|
|
Machine Translation (Q)
|
60% |
2094
46.7 IPS |
